From 713b8a4a8fd5e97c73ebe4bd820412349ead3633 Mon Sep 17 00:00:00 2001 From: rg77 Date: Fri, 7 Jul 2017 18:04:22 +0530 Subject: [PATCH] initial commit --- README.md | 5 + help/builder_help.sce | 21 + help/builder_help.sce~ | 21 + help/en_US/build_help.sce | 17 + help/en_US/build_help.sce~ | 17 + help/en_US/colorChange.xml | 102 ++++ help/en_US/convert.xml | 75 +++ help/en_US/detailEnhance.xml | 70 +++ help/en_US/edgePreservingFilter.xml | 82 +++ help/en_US/getDepth.xml | 69 +++ help/en_US/getStructuringElement.xml | 90 ++++ help/en_US/illuminationChange.xml | 101 ++++ help/en_US/localMaximaFinder.xml | 77 +++ help/en_US/master_help.xml | 65 +++ help/en_US/minAreaRect.xml | 83 +++ help/en_US/minEnclosingCircle.xml | 74 +++ help/en_US/partition.xml | 86 +++ help/en_US/pencilSketch.xml | 74 +++ help/en_US/pyramid.xml | 76 +++ help/en_US/regionFill.xml | 82 +++ help/en_US/rgb2gray.xml | 61 +++ help/en_US/roiFreeHand.xml | 85 +++ help/en_US/roiPoly.xml | 105 ++++ 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macros/minEnclosingCircle.sci~ create mode 100644 macros/partition.sci create mode 100644 macros/partition.sci~ create mode 100644 macros/pencilSketch.sci create mode 100644 macros/pencilSketch.sci~ create mode 100644 macros/pyramid.sci create mode 100644 macros/pyramid.sci~ create mode 100644 macros/regionFill.sci create mode 100644 macros/regionFill.sci~ create mode 100644 macros/rgb2gray.sci create mode 100644 macros/rgb2gray.sci~ create mode 100644 macros/roiFreeHand.sci create mode 100644 macros/roiFreeHand.sci~ create mode 100644 macros/roiPoly.sci create mode 100644 macros/roiPoly.sci~ create mode 100644 macros/seamlessClone.sci create mode 100644 macros/seamlessClone.sci~ create mode 100644 macros/stylization.sci create mode 100644 macros/stylization.sci~ create mode 100644 macros/templateMatcher.sci create mode 100644 macros/templateMatcher.sci~ create mode 100644 macros/textureFlattening.sci create mode 100644 macros/textureFlattening.sci~ create mode 100644 macros/watershed.sci create mode 100644 macros/watershed.sci~ create mode 100644 sci_gateway/opencv_colorChange.cpp create mode 100644 sci_gateway/opencv_convert.cpp create mode 100644 sci_gateway/opencv_detailEnhance.cpp create mode 100644 sci_gateway/opencv_edgePreservingFilter.cpp create mode 100644 sci_gateway/opencv_getDepth.cpp create mode 100644 sci_gateway/opencv_getStructuringElement.cpp create mode 100644 sci_gateway/opencv_illuminationChange.cpp create mode 100644 sci_gateway/opencv_minAreaRect.cpp create mode 100644 sci_gateway/opencv_minEnclosingCircle.cpp create mode 100644 sci_gateway/opencv_partition.cpp create mode 100644 sci_gateway/opencv_pencilSketch.cpp create mode 100644 sci_gateway/opencv_pyramid.cpp create mode 100644 sci_gateway/opencv_regionFill.cpp create mode 100644 sci_gateway/opencv_rgb2gray.cpp create mode 100644 sci_gateway/opencv_roiPoly.cpp create mode 100644 sci_gateway/opencv_seamlessClone.cpp create mode 100644 sci_gateway/opencv_stylization.cpp create mode 100644 sci_gateway/opencv_templateMatcher.cpp create mode 100644 sci_gateway/opencv_textureFlattening.cpp create mode 100644 sci_gateway/opencv_watershed.cpp diff --git a/README.md b/README.md new file mode 100644 index 0000000..81b60b7 --- /dev/null +++ b/README.md @@ -0,0 +1,5 @@ +# FOSSEE-Image-Processing-Toolbox + +Dependencies + +Scilab >= 5.5.0 (http://www.scilab.org/) OpenCV >= 3.0.0 (http://sourceforge.net/projects/opencvlibrary/) diff --git a/help/builder_help.sce b/help/builder_help.sce new file mode 100644 index 0000000..4d4e031 --- /dev/null +++ b/help/builder_help.sce @@ -0,0 +1,21 @@ +// Copyright (C) 2015 - IIT Bombay - FOSSEE +// +// Author: Shamika Mohanan +// Organization: FOSSEE, IIT Bombay +// Email: toolbox@scilab.in +// This file must be used under the terms of the BSD. +// This source file is licensed as described in the file LICENSE, which +// you should have received as part of this distribution. The terms +// are also available at +// https://opensource.org/licenses/BSD-3-Clause + +mode(-1) +lines(0) + +toolbox_title = "FOSSEE_Image_Processing_Toolbox" + +help_dir = get_absolute_file_path('builder_help.sce'); + +tbx_builder_help_lang("en_US", help_dir); + +clear toolbox_title; diff --git a/help/builder_help.sce~ b/help/builder_help.sce~ new file mode 100644 index 0000000..da2f4f7 --- /dev/null +++ b/help/builder_help.sce~ @@ -0,0 +1,21 @@ +// Copyright (C) 2015 - IIT Bombay - FOSSEE +// +// Author: Harpreet Singh +// Organization: FOSSEE, IIT Bombay +// Email: harpreet.mertia@gmail.com +// This file must be used under the terms of the BSD. +// This source file is licensed as described in the file LICENSE, which +// you should have received as part of this distribution. The terms +// are also available at +// https://opensource.org/licenses/BSD-3-Clause + +mode(-1) +lines(0) + +toolbox_title = "FOSSEE_Optimization_Toolbox" + +help_dir = get_absolute_file_path('builder_help.sce'); + +tbx_builder_help_lang("en_US", help_dir); + +clear toolbox_title; diff --git a/help/en_US/build_help.sce b/help/en_US/build_help.sce new file mode 100644 index 0000000..81154f3 --- /dev/null +++ b/help/en_US/build_help.sce @@ -0,0 +1,17 @@ +// Copyright (C) 2015 - IIT Bombay - FOSSEE +// +// Author: Shamika Mohanan +// Organization: FOSSEE, IIT Bombay +// Email: toolbox@scilab.in +// This file must be used under the terms of the BSD. +// This source file is licensed as described in the file LICENSE, which +// you should have received as part of this distribution. The terms +// are also available at +// https://opensource.org/licenses/BSD-3-Clause + +help_lang_dir = get_absolute_file_path('build_help.sce'); + +tbx_build_help(TOOLBOX_TITLE, help_lang_dir); + +clear help_lang_dir; + diff --git a/help/en_US/build_help.sce~ b/help/en_US/build_help.sce~ new file mode 100644 index 0000000..0205c56 --- /dev/null +++ b/help/en_US/build_help.sce~ @@ -0,0 +1,17 @@ +// Copyright (C) 2015 - IIT Bombay - FOSSEE +// +// Author: Shamika Mohanan +// Organization: FOSSEE, IIT Bombay +// Email: harpreet.mertia@gmail.com +// This file must be used under the terms of the BSD. +// This source file is licensed as described in the file LICENSE, which +// you should have received as part of this distribution. The terms +// are also available at +// https://opensource.org/licenses/BSD-3-Clause + +help_lang_dir = get_absolute_file_path('build_help.sce'); + +tbx_build_help(TOOLBOX_TITLE, help_lang_dir); + +clear help_lang_dir; + diff --git a/help/en_US/colorChange.xml b/help/en_US/colorChange.xml new file mode 100644 index 0000000..b3c6b47 --- /dev/null +++ b/help/en_US/colorChange.xml @@ -0,0 +1,102 @@ + + + + + + + + colorChange + This function seamlessly mixes two differently colored versions of the input image. + + + + + Calling Sequence + + src = imread("image-location-for-src"); + mask = roiFreeHand(src); //we can also use other function to create the mask + outputImage = colorChange(src, mask, red_mul, green_mul, blue_mul ) + + + + + + Parameters + + outputImage: + resultant Output image + src: + Input source image + mask: + Input mask image with same size as that of source image. + red_mul: + R-channel multiply factor (float) (default value= 1.0f) + green_mul: + G-channel multiply factor.(float) (default value= 1.0f) + blue_mul: + B-channel multiply factor.(float) (default value= 1.0f) + + + + + Description + +Given an original color image, two differently colored versions of this image can be mixed seamlessly. + + + + + + + Examples + + + + + Examples + + + + + Authors + + Rohan Gurve + + + diff --git a/help/en_US/convert.xml b/help/en_US/convert.xml new file mode 100644 index 0000000..24defc0 --- /dev/null +++ b/help/en_US/convert.xml @@ -0,0 +1,75 @@ + + + + + + + + convert + This function converts a matrix to another data type with optional scaling. + + + + + Calling Sequence + + src = imread('location-of-src'); + dst = convert(src,rtype, alpha,beta); + + + + + + Parameters + + src : + the source matrix/image + alpha: + optional scale factor (default value is 1) (type- Double) + beta: + optional delta added to the scaled values (default value is 0) (type- Double) + rtype: + (type- string)desired output matrix type/depth.It supports the following types -> 1) CV_8U, 2) CV_8S, 3) CV_16U ,4) CV_16S, 5) CV_32S, 6) CV_64F + + + + + Description + +The method converts source pixel values to the target data type. saturate_cast<> is applied at the end to avoid possible overflows- + + + + + + + Examples + + + + + Authors + + Rohan Gurve + + + diff --git a/help/en_US/detailEnhance.xml b/help/en_US/detailEnhance.xml new file mode 100644 index 0000000..99d6e99 --- /dev/null +++ b/help/en_US/detailEnhance.xml @@ -0,0 +1,70 @@ + + + + + + + + detailEnhance + This filter enhances the details of a the given image. + + + + + Calling Sequence + + src = imread("image-location-for-src"); + outputImage = detailEnhance(src,sigma_s,sigma_r) + + + + + + Parameters + + outputImage: + resultant Output image + src: + Input 8-bit 3-channel image. + sigma_s: + Range between 0 to 200 (float) (default value is 10) + sigma_r: + Range between 0 to 1. (float) (default value is 0.15f) + + + + + Examples + + + + + Authors + + Rohan Gurve + + + diff --git a/help/en_US/edgePreservingFilter.xml b/help/en_US/edgePreservingFilter.xml new file mode 100644 index 0000000..dda9ae2 --- /dev/null +++ b/help/en_US/edgePreservingFilter.xml @@ -0,0 +1,82 @@ + + + + + + + + edgePreservingFilter + This function smoothens the given input image while preserving the edges. + + + + + Calling Sequence + + src = imread("image-location-for-src"); + outputImage = edgePreservingFilter(src,flag,sigma_s,sigma_r) + + + + + + Parameters + + outputImage: + resultant Output image + src: + Input 8-bit 3-channel image. + flag: + (default value is 1) (denotes Edge preserving filters). It takes 2 values -> 1) 1 (for RECURS_FILTER) ; 2) 2 (for NORMCONV_FILTER) + sigma_s: + Range between 0 to 200 (float) (default value is 60 ) + sigma_r: + Range between 0 to 1. (float) (default value is 0.4f) + + + + + Description + +Filtering is the fundamental operation in image and video processing. Edge-preserving smoothing filters +are used in many different applications + + + + + + + Examples + + + + + Authors + + Rohan Gurve + + + diff --git a/help/en_US/getDepth.xml b/help/en_US/getDepth.xml new file mode 100644 index 0000000..33ae8c0 --- /dev/null +++ b/help/en_US/getDepth.xml @@ -0,0 +1,69 @@ + + + + + + + + getDepth + This function returns the depth of the input matrix element. + + + + + Calling Sequence + + src = imread("image-location-for-src"); + depth = getDepth(src) + + + + + + Parameters + + src: + Input 8-bit 3-channel image. + depth: + a string which denoted the depth of the src.It identifies the following- 1) CV_8U - 8-bit unsigned integers ( 0..255 ) ; 2) CV_8S - 8-bit signed integers ( -128..127 ); 3) CV_16U - 16-bit unsigned integers ( 0..65535 ); 4) CV_16U - 16-bit unsigned integers ( 0..65535 ); 5) CV_16S - 16-bit signed integers ( -32768..32767 ) ; 6) CV_32S - 32-bit signed integers ( -2147483648..2147483647 ) ; 7) CV_64F - 64-bit floating-point numbers ( -DBL_MAX..DBL_MAX, INF, NAN ) + + + + + Examples + + + + + Description + +Note - Scilab does not support CV_32F - it would be considered as CV_64F + + + + + + + Authors + + Rohan Gurve + + + diff --git a/help/en_US/getStructuringElement.xml b/help/en_US/getStructuringElement.xml new file mode 100644 index 0000000..a486245 --- /dev/null +++ b/help/en_US/getStructuringElement.xml @@ -0,0 +1,90 @@ + + + + + + + + getStructuringElement + This function returns a structuring element required for the morphological operations. + + + + + Calling Sequence + + se = raw_getStructuringElement(gettype, cols, rows, anchorX, anchorY) + + + + + + Parameters + + se: + output structuring element matrix + shape: + element shape that could be one of the following- + cols: + Width of the structuring element + rows: + Height of the structuring element + anchor: + Anchor position within the element. The value (-1, -1) means that the anchor is at the center. + anchor_x: + x-coordinate of the anchor + anchor_y: + y-coordinate of the anchor + + + + + Description + +The function constructs and returns the structuring element that can be further passed to +function that perform morphological operations like erode or dilate. + + + + + + + Examples + + + + + Examples + + + + + Authors + + Sukul Bagai + + + diff --git a/help/en_US/illuminationChange.xml b/help/en_US/illuminationChange.xml new file mode 100644 index 0000000..eab5a07 --- /dev/null +++ b/help/en_US/illuminationChange.xml @@ -0,0 +1,101 @@ + + + + + + + + illuminationChange + This function is used to reduce specular reflections or highlight under-exposed foreground objects. + + + + + Calling Sequence + + src = imread("image-location-for-src"); + mask = roiFreeHand(src); //we can also use other function to create the mask + outputImage = illuminationChange(src, mask, alpha, beta ) + + + + + + Parameters + + outputImage: + resultant Output image + src: + Input source image + mask: + Input mask image with same size as that of source image. + alpha: + Value ranges between 0-2. (float) (default value= 0.2f) + beta: + Value ranges between 0-2. (float) (default value= 0.4f) + + + + + Description + +Applying an appropriate non-linear transformation to the gradient field inside the selection and then integrating +back with a Poisson solver, modifies locally the apparent illumination of an image. + + + + + + + Examples + + + + + Examples + + + + + Authors + + Rohan Gurve + + + diff --git a/help/en_US/localMaximaFinder.xml b/help/en_US/localMaximaFinder.xml new file mode 100644 index 0000000..aff3c17 --- /dev/null +++ b/help/en_US/localMaximaFinder.xml @@ -0,0 +1,77 @@ + + + + + + + + localMaximaFinder + This function returns local maxima in input matrice. + + + + + Calling Sequence + + location=localMaximaFinder(inputMatrix,neighborhood,maxNoOfMaxima,threshold) + + + + + + Parameters + + inputMatrix: + 2-D input matrix + neighborhood: + It specifies the neighborhood around maxima, function zeros out the values inside the block. + maxNoOfMaxima: + maximum number of local maxima you want to find. + threshold: + It specifies minimum value of the local maxima. + + + + + Description + +localMaximaFinder returns [x y] coordinates of the local maxima in a M-by-2 matrix where M is +the number of local maxima and each row represents one local maximum + + + + + + + Examples + + + + + Examples + + + diff --git a/help/en_US/master_help.xml b/help/en_US/master_help.xml new file mode 100644 index 0000000..fe069b9 --- /dev/null +++ b/help/en_US/master_help.xml @@ -0,0 +1,65 @@ + + + + + + + + + + + + + + + + + + + + + + + + + +]> + + + FOSSEE Image Processing Toolbox + + + +FOSSEE Image Processing Toolbox +&a9ec40b34c5f549027c0eea3e8f1265a9; +&a299a344bcba191174e5f27907137a5a3; +&a499106a84662ba4412a6205674f1fc87; +&a43e4065178b6a3c4e0b5bb54442950ea; +&a78b9cadacbff316f7a1ce51f3df35f9d; +&a0603f323705f457e4dd38568fdf2627b; +&a28faf1d6451ab38a3502e6f30bd02f7e; +&ad269082a179d69d1bebb64224b0dd11f; +&ac26c9c7f3d61cb2afb5c3e3e0efda3d8; +&a03f4c40d3bc0c19671a86caf49064e1b; +&a42c1e9d77c0ad52ff79a65eeecbe9726; +&a3fca328b22cb6929651e630f42a7b0f8; +&a6b42f1c5b15ed223fd5e8325d0026495; +&a7739060770044c23e8397bd2f20616a0; +&a1b6ee78858c49bd79d043dea51d55f6e; +&a2ced9e3a6f8f997e636ea3ae6c6afd62; +&a6054d5e8b605e9d1f7bdff2c1ef04a86; +&a89cbf7de07ce6b50dd9173e8e31c453e; +&aceda8fbf845d059f2253e50367ed6fcd; +&ac010e344a8b8d75230d24be683d83ffa; +&ab0828a610921e67065053cba8eed9099; +&a042a487be4f8e9c1abd060477da56a53; + + diff --git a/help/en_US/minAreaRect.xml b/help/en_US/minAreaRect.xml new file mode 100644 index 0000000..51726ec --- /dev/null +++ b/help/en_US/minAreaRect.xml @@ -0,0 +1,83 @@ + + + + + + + + minAreaRect + This function is used to find a rotated rectangle of the minimum area enclosing the input 2D point set. + + + + + Calling Sequence + + x = [x1 x2 x3 ...............xn] + y = [y1 y2 y3................yn] + out = minAreaRect(x , y) + + + + + + Parameters + + x: + 1xn matrix denoting the x coordinates of the points + y: + 1xn matrix denoting the corresponding y coordinates of the points + out: + Output structure with the following members - 1) width- width of the rectangle, 2) height- height of the rectangle, 3) center_x- x coordinate of the center of the rectangle, 4) center_y- x coordinate of the center of the rectangle, 5) angle- the angle by which the rectanle is rotated, 6) x_coordinates_vertices- 1x4 Double matrix denoting the x coordinates of the vertices of the rectangle, 7) x_coordinates_vertices- 1x4 Double matrix denoting the x coordinates of the vertices of the rectangle, 8) y_coordinates_vertices- 1x4 Double matrix denoting the corresponding y coordinates of the vertices of the rectangle + + + + + Description + +The function calculates and returns the minimum-area bounding rectangle (possibly rotated) for a specified point set. +the returned rotatedRect can contain negative indices when data is close to the containing Mat element boundary. + + + + + + + Examples + + + + + Examples + + + + + Authors + + Priyanka Hiranandani + Rohan Gurve + + + diff --git a/help/en_US/minEnclosingCircle.xml b/help/en_US/minEnclosingCircle.xml new file mode 100644 index 0000000..d9d0ec4 --- /dev/null +++ b/help/en_US/minEnclosingCircle.xml @@ -0,0 +1,74 @@ + + + + + + + + minEnclosingCircle + This function is used to find the circumcircle of an object constituted by the given set of input points. + + + + + Calling Sequence + + x = [x1 x2 x3 ...............xn] + y = [y1 y2 y3................yn] + out = minEnclosingCirlce(x , y) + + + + + + Parameters + + x: + 1xn matrix denoting the x coordinates of the points of the object + y: + 1xn matrix denoting the corresponding y coordinates of the points of the object + out: + Output structure with the following members- 1) center_x- x coordinate of the center of the circle, 2)center_y- x coordinate of the center of the circle, 3) radius- radius of the circle + + + + + Examples + + + + + Examples + + + + + Authors + + Priyanka Hiranandani + Rohan Gurve + + + diff --git a/help/en_US/partition.xml b/help/en_US/partition.xml new file mode 100644 index 0000000..0acc665 --- /dev/null +++ b/help/en_US/partition.xml @@ -0,0 +1,86 @@ + + + + + + + + partition + This function is used to split an imageSet. + + + + + Calling Sequence + + imgSet = imageSet(location) //or imgSet = imageSet(location,'recursive') + [set1 set2 ... setN] = partition(imgSet, groupSizes) + [set1 set2 ... setN] = partition(imgSet, groupPercentages) + [set1 set2 ... setN] = partition(..., method) + + + + + + Parameters + + set: + Output imageSet structure + imgSet: + Input imageSet to be split + groupSizes: + Matrix that specifies size of output sets + groupPercentages: + Matrix that specifies percentage content of each output set + method: + (Optional) Determines whether split is 'sequential' or 'randomized' (Default: 'sequential') + + + + + Description + +This function splits an imageSet into two or more imageSets on the basis of the groupSizes or groupPercentages provided. + + + + + + + Examples + + + + + Authors + + Rohit Suri + Rohan Gurve + + + diff --git a/help/en_US/pencilSketch.xml b/help/en_US/pencilSketch.xml new file mode 100644 index 0000000..3a875fb --- /dev/null +++ b/help/en_US/pencilSketch.xml @@ -0,0 +1,74 @@ + + + + + + + + pencilSketch + This function is used to give a non-photorealistic pencil-like line drawing effect to the given input image. + + + + + Calling Sequence + + src = imread("image-location-for-src"); + [outputImage_1 outputImage_2 ] = pencilSketch(src,sigma_s,sigma_r,shade_factor) + + + + + + Parameters + + outputImage_1: + resultant Output image with single channel + outputImage_2: + resultant Output image with 3 channels + src: + Input 8-bit 3-channel image. + sigma_s: + Range between 0 to 200 (float) (default value is 60) + sigma_r: + Range between 0 to 1. (float) (default value is 0.07f) + shade_factor: + Range between 0 to 0.1 (default value is 0.02f) + + + + + Examples + + + + + Authors + + Rohan Gurve + + + diff --git a/help/en_US/pyramid.xml b/help/en_US/pyramid.xml new file mode 100644 index 0000000..892663a --- /dev/null +++ b/help/en_US/pyramid.xml @@ -0,0 +1,76 @@ + + + + + + + + pyramid + This function computes the pyramid reduction or expansion of input_image. + + + + + Calling Sequence + + output_image=pyramid(inputimage,direction,level); + + + + + + Parameters + + inputimage : + image matrix on which pyramid reduction or expansion has to be applied + Direction : + An input string 'expand' for expand or 'reduce' for reduce the image matrix + level : + It is specify number of times want to expand or reduce the dimension of an image matrix. + output_image : + Expanded or reduced form of image after pyramid reduction or expansio + + + + + Description + +This function computes the pyramid reduction or expansion of input image.It uses Gaussian pyramid to downsamples +and upsamples the image pixels.In reduction it reduces the size of image (if m*n matrix image) by m/pow(2,level) +and n/pow(2,level).In expansion it expands the size of image (if m*n matrix image) by m*pow(2,level) +and n*pow(2,level) where pow(x,y)=x^y. + + + + + + + Examples + + + + + Authors + + Diwakar Bhardwaj + + + diff --git a/help/en_US/regionFill.xml b/help/en_US/regionFill.xml new file mode 100644 index 0000000..f66144b --- /dev/null +++ b/help/en_US/regionFill.xml @@ -0,0 +1,82 @@ + + + + + + + + regionFill + This function restores the selected region in an image using the region neighborhood. + + + + + Calling Sequence + + src = imread(location-for-image) + x = [x1 x2 ...........xn ] //x coordinates of polygon covering the region that you want to fill + y = [y1 y2 ...........yn ] //corresponding y coordinates of polygon covering the region that you want to fill + dstImg 1= regionFill(srcImg,inpaintRadius,x,y) + + mask = roiFreeHand(srx) //making a mask - you can also use other function to make the mask + dstImg2 = regionFill(srcImg,inpaintRadius,mask) + + + + + + Parameters + + srcImg: + input source imge //it is converted to 8 bit internally + inpaintRadius: + Radius of a circular neighborhood of each point inpainted that is considered by the algorithm(Double) + mask: + Inpainting mask. Non-zero pixels indicate the area that needs to be inpainted. + x: + 1xn matrix denoting x coordinates of polygon covering the region that you want to fill + y: + 1xn matrix denoting y coordinates of polygon covering the region that you want to fill + + + + + Examples + + + + + Examples + + + + + Authors + + Vinay Bhat + Rohan Gurve + + + diff --git a/help/en_US/rgb2gray.xml b/help/en_US/rgb2gray.xml new file mode 100644 index 0000000..a0264e9 --- /dev/null +++ b/help/en_US/rgb2gray.xml @@ -0,0 +1,61 @@ + + + + + + + + rgb2gray + Given an original color image, this function converts it into a single channel grayscale image and return the same. + + + + + Calling Sequence + + inputImage = imread("image-location-for-inputImage"); + outputImg = rgb2gray(inputImage) + + + + + + Parameters + + outputImage: + single channel grayscale version of the inputImage + inputImage: + Input source image + + + + + Examples + + + + + Authors + + Priyanka Hiranandani + Rohan Gurve + + + diff --git a/help/en_US/roiFreeHand.xml b/help/en_US/roiFreeHand.xml new file mode 100644 index 0000000..675d98c --- /dev/null +++ b/help/en_US/roiFreeHand.xml @@ -0,0 +1,85 @@ + + + + + + + + roiFreeHand + This is a gui based function which is used to create a mask by selecting the region of interest + + + + + Calling Sequence + + src = imread(image-location-for-src) + mask = roiFreeHand(src) + + + + + + Parameters + + mask: + Output 8 bit mask image with same size as input image + image: + Input image to be masked + + + + + Description + +This function allows the user to create a mask by selecting the region of interest in the image. +Start selecting the region of interest by pressing the left mouse button and moving in the clockwise direction. +Don't leave the left mouse button until you are done selecting the region. Once the region has been selected, +wait until the process completes. +More than one region of interest can be selected by repeating the same procedure. +Once you are done selecting the ROI, press the small 's' key.This would stop the process. +This function returns a 8 bit mask image with (the ROI being white and the rest of the region being black). + + +Note +more than one ROI can be selected from the image. Press key 's' only after all ROI have been selected. +Move the mouse only in the clockwise direction. +This algorithm assumes that the selected points in the ROI are very close to each other. Thus for best result, move +the mouse slowly while selecting the ROI + + + + + + + Examples + + + + + Authors + + Rohan Gurve + + + diff --git a/help/en_US/roiPoly.xml b/help/en_US/roiPoly.xml new file mode 100644 index 0000000..457ff99 --- /dev/null +++ b/help/en_US/roiPoly.xml @@ -0,0 +1,105 @@ + + + + + + + + roiPoly + This function creates mask by selecting the ROI as a poygon. + + + + + Calling Sequence + + I = imimread(image-location) + c = [c1 c2 ..............cn] + r = [r1 r2 ..............rn] + BW = roipoly(I, c, r) + + + + + + Parameters + + I : + Input image + c : + a 1xn vector specifying the column indices of the vertices of the n sided polygon + r : + a 1xn vector specifying the row indices of the vertices of the n sided polygon + BW: + Output mask image for input I + + + + + Description + +Returns the ROI specified by the polygon described by vectors c and r, which specify the column +and row indices of each vertex, respectively. c and r must be the same size. + + + + + 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+ color: #b22222 +} + +.cdefault { + font-style: normal; + color: #000000 +} + +.copenclose { + font-style: normal; + color: #000000 +} + +.coperator { + font-style: normal; + color: #000000 +} + +.cstring { + font-style: normal; + color: #a6557a +} + +.ctype { + font-style: normal; + color: #55a655 +} + +.cpreprocessor { + font-style: normal; + color: #9965a6 +} + +.cid { + font-style: normal; + color: #000000 +} + +.ckeyword { + font-style: normal; + color: #ad3ff2 +} + +.cmodifier { + font-style: normal; + color: #ad3ff2 +} + +.cnumber { + font-style: normal; + color: #008b8b +} diff --git a/help/en_US/scilab_en_US_help/colorChange.html b/help/en_US/scilab_en_US_help/colorChange.html new file mode 100644 index 0000000..445cd2b --- /dev/null +++ b/help/en_US/scilab_en_US_help/colorChange.html @@ -0,0 +1,111 @@ + + + colorChange + + + +

+ + + + +
+ << FOSSEE Image Processing Toolbox + + + FOSSEE Image Processing Toolbox + + + convert >> + +
+
+
+ + + + FOSSEE Image Processing Toolbox >> FOSSEE Image Processing Toolbox > colorChange + +

+

colorChange

+

This function seamlessly mixes two differently colored versions of the input image.

+ + +

Calling Sequence

+ 
src = imread("image-location-for-src");
+mask = roiFreeHand(src); //we can also use other function to create the mask
+outputImage = colorChange(src, mask, red_mul, green_mul, blue_mul )
+ +

Parameters

+
outputImage: +

resultant Output image

+
src: +

Input source image

+
mask: +

Input mask image with same size as that of source image.

+
red_mul: +

R-channel multiply factor (float) (default value= 1.0f)

+
green_mul: +

G-channel multiply factor.(float) (default value= 1.0f)

+
blue_mul: +

B-channel multiply factor.(float) (default value= 1.0f)

+ +

Description

+

Given an original color image, two differently colored versions of this image can be mixed seamlessly.

+

+ +

Examples

+ 
src = imread("/images/color2.jpeg");
+mask = roiFreeHand(src); //creating a mask
+
+outputImage1 = colorChange(src, mask) //using default value for all optional parameters
+imshow(outputImage1);//view the output
+
+outputImage2 = colorChange(src, mask,0.5 ) //specifying just the value of red_mul
+imshow(outputImage2);//view the output
+
+outputImage3 = colorChange(src, mask,0.5 , 1, 2.5 ) //specifying value of all optional parameter
+imshow(outputImage3);//view the output
+
+outputImage4 = colorChange(src, mask,0.5 , [] , 2.5 ) //skipping the second argument
+imshow(outputImage4);//view the output
+ +

Examples

+ 
src = imread("../images/color2.jpeg");
+[row col] = size(src)
+mask = zeros(row,col) //creating a mask
+mask(100:140,100:150) =255
+imshow(mask); view the mask
+outputImage = colorChange(src, mask,0.5 , 1, 2.5 ) //specifying value of all optional parameter
+imshow(outputImage);//view the output
+ +

Authors

+
  • Rohan Gurve
+
+ +
+ + + + + + +
Report an issue
+ << FOSSEE Image Processing Toolbox + + + FOSSEE Image Processing Toolbox + + + convert >> + +
+
+
+ + diff --git a/help/en_US/scilab_en_US_help/convert.html b/help/en_US/scilab_en_US_help/convert.html new file mode 100644 index 0000000..d298a62 --- /dev/null +++ b/help/en_US/scilab_en_US_help/convert.html @@ -0,0 +1,89 @@ + + + convert + + + +
+ + + + +
+ << colorChange + + + FOSSEE Image Processing Toolbox + + + detailEnhance >> + +
+
+
+ + + + FOSSEE Image Processing Toolbox >> FOSSEE Image Processing Toolbox > convert + +

+

convert

+

This function converts a matrix to another data type with optional scaling.

+ + +

Calling Sequence

+ 
src = imread('location-of-src');
+dst = convert(src,rtype, alpha,beta);
+ +

Parameters

+
src : +

the source matrix/image

+
alpha: +

optional scale factor (default value is 1) (type- Double)

+
beta: +

optional delta added to the scaled values (default value is 0) (type- Double)

+
rtype: +

(type- string)desired output matrix type/depth.It supports the following types -> 1) CV_8U, 2) CV_8S, 3) CV_16U ,4) CV_16S, 5) CV_32S, 6) CV_64F

+ +

Description

+

The method converts source pixel values to the target data type. saturate_cast<> is applied at the end to avoid possible overflows-

+

+ +

Examples

+ 
src = imread('/images/color2.jpeg');
+dst = convert(src,'CV_8U') //convert to 8 bit unsigned int using default values of alpha and beta
+dst //viewing the content of dst
+
+dst2 = convert(src,'CV_64F') //convert to 64 bit floating point using default values of alpha and beta
+dst2 //viewing the content of dst2
+ +

Authors

+
  • Rohan Gurve
+
+ +
+ + + + + + +
Report an issue
+ << colorChange + + + FOSSEE Image Processing Toolbox + + + detailEnhance >> + +
+
+
+ + diff --git a/help/en_US/scilab_en_US_help/detailEnhance.html b/help/en_US/scilab_en_US_help/detailEnhance.html new file mode 100644 index 0000000..2a6ac2a --- /dev/null +++ b/help/en_US/scilab_en_US_help/detailEnhance.html @@ -0,0 +1,88 @@ + + + detailEnhance + + + +
+ + + + +
+ << convert + + + FOSSEE Image Processing Toolbox + + + edgePreservingFilter >> + +
+
+
+ + + + FOSSEE Image Processing Toolbox >> FOSSEE Image Processing Toolbox > detailEnhance + +

+

detailEnhance

+

This filter enhances the details of a the given image.

+ + +

Calling Sequence

+ 
src = imread("image-location-for-src");
+outputImage = detailEnhance(src,sigma_s,sigma_r)
+ +

Parameters

+
outputImage: +

resultant Output image

+
src: +

Input 8-bit 3-channel image.

+
sigma_s: +

Range between 0 to 200 (float) (default value is 10)

+
sigma_r: +

Range between 0 to 1. (float) (default value is 0.15f)

+ +

Examples

+ 
src = imread("/images/color2.jpeg");
+outputImage1 = detailEnhance(src) //using the default values for optional parameter
+imshow(outputImage1);//view the output
+
+outputImage2 = detailEnhance(src,[],0.4) //providing value for second optional parameter
+imshow(outputImage2);//view the output
+
+outputImage3 = detailEnhance(src,121,0.4) // providing value all optional parameters
+imshow(outputImage3);//view the output
+ +

Authors

+
  • Rohan Gurve
+
+ +
+ + + + + + +
Report an issue
+ << convert + + + FOSSEE Image Processing Toolbox + + + edgePreservingFilter >> + +
+
+
+ + diff --git a/help/en_US/scilab_en_US_help/edgePreservingFilter.html b/help/en_US/scilab_en_US_help/edgePreservingFilter.html new file mode 100644 index 0000000..61720e7 --- /dev/null +++ b/help/en_US/scilab_en_US_help/edgePreservingFilter.html @@ -0,0 +1,95 @@ + + + edgePreservingFilter + + + +
+ + + + +
+ << detailEnhance + + + FOSSEE Image Processing Toolbox + + + getDepth >> + +
+
+
+ + + + FOSSEE Image Processing Toolbox >> FOSSEE Image Processing Toolbox > edgePreservingFilter + +

+

edgePreservingFilter

+

This function smoothens the given input image while preserving the edges.

+ + +

Calling Sequence

+ 
src = imread("image-location-for-src");
+outputImage = edgePreservingFilter(src,flag,sigma_s,sigma_r)
+ +

Parameters

+
outputImage: +

resultant Output image

+
src: +

Input 8-bit 3-channel image.

+
flag: +

(default value is 1) (denotes Edge preserving filters). It takes 2 values -> 1) 1 (for RECURS_FILTER) ; 2) 2 (for NORMCONV_FILTER)

+
sigma_s: +

Range between 0 to 200 (float) (default value is 60 )

+
sigma_r: +

Range between 0 to 1. (float) (default value is 0.4f)

+ +

Description

+

Filtering is the fundamental operation in image and video processing. Edge-preserving smoothing filters +are used in many different applications

+

+ +

Examples

+ 
src = imread("/images/color2.jpeg");
+outputImage1 = edgePreservingFilter(src) //using default values for all optional arguments
+imshow(outputImage1);//view the output
+
+outputImage2 = edgePreservingFilter(src,2) //using default values for sigma_s & sigma_r
+imshow(outputImage2);//view the output
+
+outputImage3 = edgePreservingFilter(src,[],[],0.6) //using default values for sigma_s & sigma_r
+imshow(outputImage3);//view the output
+ +

Authors

+
  • Rohan Gurve
+
+ +
+ + + + + + +
Report an issue
+ << detailEnhance + + + FOSSEE Image Processing Toolbox + + + getDepth >> + +
+
+
+ + diff --git a/help/en_US/scilab_en_US_help/getDepth.html b/help/en_US/scilab_en_US_help/getDepth.html new file mode 100644 index 0000000..e8bfa26 --- /dev/null +++ b/help/en_US/scilab_en_US_help/getDepth.html @@ -0,0 +1,82 @@ + + + getDepth + + + +
+ + + + +
+ << edgePreservingFilter + + + FOSSEE Image Processing Toolbox + + + getStructuringElement >> + +
+
+
+ + + + FOSSEE Image Processing Toolbox >> FOSSEE Image Processing Toolbox > getDepth + +

+

getDepth

+

This function returns the depth of the input matrix element.

+ + +

Calling Sequence

+ 
src = imread("image-location-for-src");
+depth = getDepth(src)
+ +

Parameters

+
src: +

Input 8-bit 3-channel image.

+
depth: +

a string which denoted the depth of the src.It identifies the following- 1) CV_8U - 8-bit unsigned integers ( 0..255 ) ; 2) CV_8S - 8-bit signed integers ( -128..127 ); 3) CV_16U - 16-bit unsigned integers ( 0..65535 ); 4) CV_16U - 16-bit unsigned integers ( 0..65535 ); 5) CV_16S - 16-bit signed integers ( -32768..32767 ) ; 6) CV_32S - 32-bit signed integers ( -2147483648..2147483647 ) ; 7) CV_64F - 64-bit floating-point numbers ( -DBL_MAX..DBL_MAX, INF, NAN )

+ +

Examples

+ 
src = imread("/images/color2.jpeg"); //reading an image
+depth = getDepth(src) ; //get the depth
+disp(depth) ; //view the output
+ +

Description

+

Note - Scilab does not support CV_32F - it would be considered as CV_64F

+

+ +

Authors

+
  • Rohan Gurve
+
+ +
+ + + + + + +
Report an issue
+ << edgePreservingFilter + + + FOSSEE Image Processing Toolbox + + + getStructuringElement >> + +
+
+
+ + diff --git a/help/en_US/scilab_en_US_help/getStructuringElement.html b/help/en_US/scilab_en_US_help/getStructuringElement.html new file mode 100644 index 0000000..2d091cd --- /dev/null +++ b/help/en_US/scilab_en_US_help/getStructuringElement.html @@ -0,0 +1,99 @@ + + + getStructuringElement + + + +
+ + + + +
+ << getDepth + + + FOSSEE Image Processing Toolbox + + + illuminationChange >> + +
+
+
+ + + + FOSSEE Image Processing Toolbox >> FOSSEE Image Processing Toolbox > getStructuringElement + +

+

getStructuringElement

+

This function returns a structuring element required for the morphological operations.

+ + +

Calling Sequence

+ 
se = raw_getStructuringElement(gettype, cols, rows, anchorX, anchorY)
+ +

Parameters

+
se: +

output structuring element matrix

+
shape: +

element shape that could be one of the following-

+
cols: +

Width of the structuring element

+
rows: +

Height of the structuring element

+
anchor: +

Anchor position within the element. The value (-1, -1) means that the anchor is at the center.

+
anchor_x: +

x-coordinate of the anchor

+
anchor_y: +

y-coordinate of the anchor

+ +

Description

+

The function constructs and returns the structuring element that can be further passed to +function that perform morphological operations like erode or dilate.

+

+ +

Examples

+ 
src = imread("/images/color2.jpeg");
+se1=getStructuringElement('MORPH_RECT',5,7,3,4); //make a rectangular structuring element
+out  = dilate(src,se1,3,4,1); //perform dilate morphological operation
+imshow(out); //view the output image
+ +

Examples

+ 
src = imread("../images/color2.jpeg");
+se2=getStructuringElement('MORPH_ELLIPSE',10,15,2,2);  //make an elliptical structuring element
+out  = dilate(src,se2,2,2,2); //perform dilate morphological operation
+imshow(out); //view the output image
+ +

Authors

+
  • Sukul Bagai
+
+ +
+ + + + + + +
Report an issue
+ << getDepth + + + FOSSEE Image Processing Toolbox + + + illuminationChange >> + +
+
+
+ + diff --git a/help/en_US/scilab_en_US_help/illuminationChange.html b/help/en_US/scilab_en_US_help/illuminationChange.html new file mode 100644 index 0000000..a6da272 --- /dev/null +++ b/help/en_US/scilab_en_US_help/illuminationChange.html @@ -0,0 +1,108 @@ + + + illuminationChange + + + +
+ + + + +
+ << getStructuringElement + + + FOSSEE Image Processing Toolbox + + + localMaximaFinder >> + +
+
+
+ + + + FOSSEE Image Processing Toolbox >> FOSSEE Image Processing Toolbox > illuminationChange + +

+

illuminationChange

+

This function is used to reduce specular reflections or highlight under-exposed foreground objects.

+ + +

Calling Sequence

+ 
src = imread("image-location-for-src");
+mask = roiFreeHand(src); //we can also use other function to create the mask
+outputImage = illuminationChange(src, mask, alpha, beta )
+ +

Parameters

+
outputImage: +

resultant Output image

+
src: +

Input source image

+
mask: +

Input mask image with same size as that of source image.

+
alpha: +

Value ranges between 0-2. (float) (default value= 0.2f)

+
beta: +

Value ranges between 0-2. (float) (default value= 0.4f)

+ +

Description

+

Applying an appropriate non-linear transformation to the gradient field inside the selection and then integrating +back with a Poisson solver, modifies locally the apparent illumination of an image.

+

+ +

Examples

+ 
src = imread("/images/color2.jpeg");//reading an image
+mask = roiFreeHand(src); //creating a mask
+imshow(mask);//view mask
+
+outputImage1 = illuminationChange(src, mask) //using default arguments
+imshow(outputImage1); // view outputImage1
+
+outputImage2 = illuminationChange(src, mask,1.9, 0.3) //providing all optional input arguments
+imshow(outputImage2); // view outputImage2
+
+outputImage3 = illuminationChange(src, mask,[], 0.3) //skipping first optional input argument
+imshow(outputImage3); // view outputImage3
+ +

Examples

+ 
src = imread("/images/color2.jpeg");
+[row col] = size(src)
+mask = zeros(row,col) //creating a mask
+mask(100:140,100:150) =255
+imshow(mask); view the mask
+outputImage = illuminationChange(src, mask) //using default arguments
+imshow(outputImage);//view the output
+ +

Authors

+
  • Rohan Gurve
+
+ +
+ + + + + + +
Report an issue
+ << getStructuringElement + + + FOSSEE Image Processing Toolbox + + + localMaximaFinder >> + +
+
+
+ + diff --git a/help/en_US/scilab_en_US_help/index.html b/help/en_US/scilab_en_US_help/index.html new file mode 100644 index 0000000..bd949e1 --- /dev/null +++ b/help/en_US/scilab_en_US_help/index.html @@ -0,0 +1,181 @@ + + + + + + +
+ + + + +
+ + + + + +
+
+
+ + + + +

+

FOSSEE Image Processing Toolbox

+
    + +
  • FOSSEE Image Processing Toolbox +
    • colorChange — This function seamlessly mixes two differently colored versions of the input image.
      • + + + + + +
    • convert — This function converts a matrix to another data type with optional scaling.
      • + + + + + +
    • detailEnhance — This filter enhances the details of a the given image.
      • + + + + + +
    • edgePreservingFilter — This function smoothens the given input image while preserving the edges.
      • + + + + + +
    • getDepth — This function returns the depth of the input matrix element.
      • + + + + + +
    • getStructuringElement — This function returns a structuring element required for the morphological operations.
      • + + + + + +
    • illuminationChange — This function is used to reduce specular reflections or highlight under-exposed foreground objects.
      • + + + + + +
    • localMaximaFinder — This function returns local maxima in input matrice.
      • + + + + + +
    • minAreaRect — This function is used to find a rotated rectangle of the minimum area enclosing the input 2D point set.
      • + + + + + +
    • minEnclosingCircle — This function is used to find the circumcircle of an object constituted by the given set of input points.
      • + + + + + +
    • partition — This function is used to split an imageSet.
      • + + + + + +
    • pencilSketch — This function is used to give a non-photorealistic pencil-like line drawing effect to the given input image.
      • + + + + + +
    • pyramid — This function computes the pyramid reduction or expansion of input_image.
      • + + + + + +
    • regionFill — This function restores the selected region in an image using the region neighborhood.
      • + + + + + +
    • rgb2gray — Given an original color image, this function converts it into a single channel grayscale image and return the same.
      • + + + + + +
    • roiFreeHand — This is a gui based function which is used to create a mask by selecting the region of interest
      • + + + + + +
    • roiPoly — This function creates mask by selecting the ROI as a poygon.
      • + + + + + +
    • seamlessClone — This function is used to seamlessly clone a source image onto a destination image.
      • + + + + + +
    • stylization — This function aims to produce non-photorealistic digital imagery with a wide variety of effects.
      • + + + + + +
    • templateMatcher — This function compares a template in overlapped image regions and returns the coordinates of the point of match.
      • + + + + + +
    • textureFlattening — This function washes out the texture of the selected region in the input image, giving its contents a flat aspect.
      • + + + + + +
    • watershed — This function returns a marker based segmented image for the given input image.
+
+ +
+ + + + + + +
Report an issue
+ + + + + +
+
+
+ + diff --git a/help/en_US/scilab_en_US_help/jhelpidx.xml b/help/en_US/scilab_en_US_help/jhelpidx.xml new file mode 100644 index 0000000..aa5a66e --- /dev/null +++ b/help/en_US/scilab_en_US_help/jhelpidx.xml @@ -0,0 +1,3 @@ + + + \ No newline at end of file diff --git a/help/en_US/scilab_en_US_help/jhelpmap.jhm b/help/en_US/scilab_en_US_help/jhelpmap.jhm new file mode 100644 index 0000000..cb4e37f --- /dev/null +++ b/help/en_US/scilab_en_US_help/jhelpmap.jhm @@ -0,0 +1,28 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + \ No newline at end of file diff --git a/help/en_US/scilab_en_US_help/jhelpset.hs b/help/en_US/scilab_en_US_help/jhelpset.hs new file mode 100644 index 0000000..7c93217 --- /dev/null +++ b/help/en_US/scilab_en_US_help/jhelpset.hs @@ -0,0 +1,28 @@ + + + +FOSSEE Image Processing Toolbox + +top + + + +TOC + +javax.help.TOCView +jhelptoc.xml + + +Index + +javax.help.IndexView +jhelpidx.xml + + +Search + +javax.help.SearchView +JavaHelpSearch + + \ No newline at end of file diff --git a/help/en_US/scilab_en_US_help/jhelptoc.xml b/help/en_US/scilab_en_US_help/jhelptoc.xml new file mode 100644 index 0000000..b46c51f --- /dev/null +++ b/help/en_US/scilab_en_US_help/jhelptoc.xml @@ -0,0 +1,30 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + \ No newline at end of file diff --git a/help/en_US/scilab_en_US_help/localMaximaFinder.html b/help/en_US/scilab_en_US_help/localMaximaFinder.html new file mode 100644 index 0000000..0be995d --- /dev/null +++ b/help/en_US/scilab_en_US_help/localMaximaFinder.html @@ -0,0 +1,91 @@ + + + localMaximaFinder + + + +
+ + + + +
+ << illuminationChange + + + FOSSEE Image Processing Toolbox + + + minAreaRect >> + +
+
+
+ + + + FOSSEE Image Processing Toolbox >> FOSSEE Image Processing Toolbox > localMaximaFinder + +

+

localMaximaFinder

+

This function returns local maxima in input matrice.

+ + +

Calling Sequence

+ 
location=localMaximaFinder(inputMatrix,neighborhood,maxNoOfMaxima,threshold)
+ +

Parameters

+
inputMatrix: +

2-D input matrix

+
neighborhood: +

It specifies the neighborhood around maxima, function zeros out the values inside the block.

+
maxNoOfMaxima: +

maximum number of local maxima you want to find.

+
threshold: +

It specifies minimum value of the local maxima.

+ +

Description

+

localMaximaFinder returns [x y] coordinates of the local maxima in a M-by-2 matrix where M is +the number of local maxima and each row represents one local maximum

+

+ +

Examples

+ 
mat = [0 0 0 0 0 0;0 0 0 1 0 0;0 0 7 0 0 0 ;0 0 0 0 0 0];
+loc=localMaximaFinder(mat,[1 3],4,1);
+o/p: loc  =
+
+3.    3.
+4.    2.
+ +

Examples

+ 
I=imread("/images/color2.jpeg");
+grayImage=rgb2gray(I);
+location=localMaximaFinder(grayImage,[1 1],1,1);
+
+ +
+ + + + + + +
Report an issue
+ << illuminationChange + + + FOSSEE Image Processing Toolbox + + + minAreaRect >> + +
+
+
+ + diff --git a/help/en_US/scilab_en_US_help/minAreaRect.html b/help/en_US/scilab_en_US_help/minAreaRect.html new file mode 100644 index 0000000..705d8aa --- /dev/null +++ b/help/en_US/scilab_en_US_help/minAreaRect.html @@ -0,0 +1,92 @@ + + + minAreaRect + + + +
+ + + + +
+ << localMaximaFinder + + + FOSSEE Image Processing Toolbox + + + minEnclosingCircle >> + +
+
+
+ + + + FOSSEE Image Processing Toolbox >> FOSSEE Image Processing Toolbox > minAreaRect + +

+

minAreaRect

+

This function is used to find a rotated rectangle of the minimum area enclosing the input 2D point set.

+ + +

Calling Sequence

+ 
x = [x1 x2 x3 ...............xn]
+y = [y1 y2 y3................yn]
+out = minAreaRect(x , y)
+ +

Parameters

+
x: +

1xn matrix denoting the x coordinates of the points

+
y: +

1xn matrix denoting the corresponding y coordinates of the points

+
out: +

Output structure with the following members - 1) width- width of the rectangle, 2) height- height of the rectangle, 3) center_x- x coordinate of the center of the rectangle, 4) center_y- x coordinate of the center of the rectangle, 5) angle- the angle by which the rectanle is rotated, 6) x_coordinates_vertices- 1x4 Double matrix denoting the x coordinates of the vertices of the rectangle, 7) x_coordinates_vertices- 1x4 Double matrix denoting the x coordinates of the vertices of the rectangle, 8) y_coordinates_vertices- 1x4 Double matrix denoting the corresponding y coordinates of the vertices of the rectangle

+ +

Description

+

The function calculates and returns the minimum-area bounding rectangle (possibly rotated) for a specified point set. +the returned rotatedRect can contain negative indices when data is close to the containing Mat element boundary.

+

+ +

Examples

+ 
x = [0 8 8 0]
+y = [0 0 5 5]
+out = minAreaRect(x,y)
+ +

Examples

+ 
x = [0 8 8 0 8 8]
+y = [0 0 5 5 4 4]
+out = minAreaRect(x,y)
+ +

Authors

+
  • Priyanka Hiranandani
    • +
  • Rohan Gurve
+
+ +
+ + + + + + +
Report an issue
+ << localMaximaFinder + + + FOSSEE Image Processing Toolbox + + + minEnclosingCircle >> + +
+
+
+ + diff --git a/help/en_US/scilab_en_US_help/minEnclosingCircle.html b/help/en_US/scilab_en_US_help/minEnclosingCircle.html new file mode 100644 index 0000000..b0363f4 --- /dev/null +++ b/help/en_US/scilab_en_US_help/minEnclosingCircle.html @@ -0,0 +1,87 @@ + + + minEnclosingCircle + + + +
+ + + + +
+ << minAreaRect + + + FOSSEE Image Processing Toolbox + + + partition >> + +
+
+
+ + + + FOSSEE Image Processing Toolbox >> FOSSEE Image Processing Toolbox > minEnclosingCircle + +

+

minEnclosingCircle

+

This function is used to find the circumcircle of an object constituted by the given set of input points.

+ + +

Calling Sequence

+ 
x = [x1 x2 x3 ...............xn]
+y = [y1 y2 y3................yn]
+out = minEnclosingCirlce(x , y)
+ +

Parameters

+
x: +

1xn matrix denoting the x coordinates of the points of the object

+
y: +

1xn matrix denoting the corresponding y coordinates of the points of the object

+
out: +

Output structure with the following members- 1) center_x- x coordinate of the center of the circle, 2)center_y- x coordinate of the center of the circle, 3) radius- radius of the circle

+ +

Examples

+ 
x = [0 8 8 0 2]
+y = [0 0 5 5 9]
+out = minEnclosingCircle(x,y)
+ +

Examples

+ 
x = [0 8 8 0 8 8]
+y = [0 0 5 5 4 4]
+out = minEnclosingCircle(x,y)
+ +

Authors

+
  • Priyanka Hiranandani
    • +
  • Rohan Gurve
+
+ +
+ + + + + + +
Report an issue
+ << minAreaRect + + + FOSSEE Image Processing Toolbox + + + partition >> + +
+
+
+ + diff --git a/help/en_US/scilab_en_US_help/partition.html b/help/en_US/scilab_en_US_help/partition.html new file mode 100644 index 0000000..4763711 --- /dev/null +++ b/help/en_US/scilab_en_US_help/partition.html @@ -0,0 +1,99 @@ + + + partition + + + +
+ + + + +
+ << minEnclosingCircle + + + FOSSEE Image Processing Toolbox + + + pencilSketch >> + +
+
+
+ + + + FOSSEE Image Processing Toolbox >> FOSSEE Image Processing Toolbox > partition + +

+

partition

+

This function is used to split an imageSet.

+ + +

Calling Sequence

+ 
imgSet = imageSet(location) //or imgSet = imageSet(location,'recursive')
+[set1 set2 ... setN] = partition(imgSet, groupSizes)
+[set1 set2 ... setN] = partition(imgSet, groupPercentages)
+[set1 set2 ... setN] = partition(..., method)
+ +

Parameters

+
set: +

Output imageSet structure

+
imgSet: +

Input imageSet to be split

+
groupSizes: +

Matrix that specifies size of output sets

+
groupPercentages: +

Matrix that specifies percentage content of each output set

+
method: +

(Optional) Determines whether split is 'sequential' or 'randomized' (Default: 'sequential')

+ +

Description

+

This function splits an imageSet into two or more imageSets on the basis of the groupSizes or groupPercentages provided.

+

+ +

Examples

+ 
imgSet = imageSet('/images/test','recursive');
+[set1 set2 set3] = partition(imgSet,[2 , 3], 'randomized');
+
+imgSet = imageSet('/images/test','recursive');
+[trainingSet testSet] = partition(imgSet,[0.8]);
+
+imgSet = imageSet('/images/airplanes');
+[set1 set2] = partition(imgSet,[5]);
+
+imgSet = imageSet('/images/test','recursive');
+[trainingSet testSet] = partition(imgSet,[4], 'randomized');
+ +

Authors

+
  • Rohit Suri
    • +
  • Rohan Gurve
+
+ +
+ + + + + + +
Report an issue
+ << minEnclosingCircle + + + FOSSEE Image Processing Toolbox + + + pencilSketch >> + +
+
+
+ + diff --git a/help/en_US/scilab_en_US_help/pencilSketch.html b/help/en_US/scilab_en_US_help/pencilSketch.html new file mode 100644 index 0000000..363766e --- /dev/null +++ b/help/en_US/scilab_en_US_help/pencilSketch.html @@ -0,0 +1,92 @@ + + + pencilSketch + + + +
+ + + + +
+ << partition + + + FOSSEE Image Processing Toolbox + + + pyramid >> + +
+
+
+ + + + FOSSEE Image Processing Toolbox >> FOSSEE Image Processing Toolbox > pencilSketch + +

+

pencilSketch

+

This function is used to give a non-photorealistic pencil-like line drawing effect to the given input image.

+ + +

Calling Sequence

+ 
src = imread("image-location-for-src");
+[outputImage_1 outputImage_2 ] = pencilSketch(src,sigma_s,sigma_r,shade_factor)
+ +

Parameters

+
outputImage_1: +

resultant Output image with single channel

+
outputImage_2: +

resultant Output image with 3 channels

+
src: +

Input 8-bit 3-channel image.

+
sigma_s: +

Range between 0 to 200 (float) (default value is 60)

+
sigma_r: +

Range between 0 to 1. (float) (default value is 0.07f)

+
shade_factor: +

Range between 0 to 0.1 (default value is 0.02f)

+ +

Examples

+ 
src = imread("/images/color2.jpeg");
+outputImage1 = pencilSketch(src) //using default values for all optional parameters
+imshow(outputImage1);//view the output
+
+outputImage2 = pencilSketch(src,100,[],0.07) //using default values for sigma_s
+imshow(outputImage2);//view the output
+
+outputImage3 = pencilSketch(src,100,0.4,0.07) //providing values for all optional parameters
+imshow(outputImage3);//view the output
+ +

Authors

+
  • Rohan Gurve
+
+ +
+ + + + + + +
Report an issue
+ << partition + + + FOSSEE Image Processing Toolbox + + + pyramid >> + +
+
+
+ + diff --git a/help/en_US/scilab_en_US_help/pyramid.html b/help/en_US/scilab_en_US_help/pyramid.html new file mode 100644 index 0000000..12a751e --- /dev/null +++ b/help/en_US/scilab_en_US_help/pyramid.html @@ -0,0 +1,90 @@ + + + pyramid + + + +
+ + + + +
+ << pencilSketch + + + FOSSEE Image Processing Toolbox + + + regionFill >> + +
+
+
+ + + + FOSSEE Image Processing Toolbox >> FOSSEE Image Processing Toolbox > pyramid + +

+

pyramid

+

This function computes the pyramid reduction or expansion of input_image.

+ + +

Calling Sequence

+ 
output_image=pyramid(inputimage,direction,level);
+ +

Parameters

+
inputimage : +

image matrix on which pyramid reduction or expansion has to be applied

+
Direction : +

An input string 'expand' for expand or 'reduce' for reduce the image matrix

+
level : +

It is specify number of times want to expand or reduce the dimension of an image matrix.

+
output_image : +

Expanded or reduced form of image after pyramid reduction or expansio

+ +

Description

+

This function computes the pyramid reduction or expansion of input image.It uses Gaussian pyramid to downsamples +and upsamples the image pixels.In reduction it reduces the size of image (if m*n matrix image) by m/pow(2,level) +and n/pow(2,level).In expansion it expands the size of image (if m*n matrix image) by m*pow(2,level) +and n*pow(2,level) where pow(x,y)=x^y.

+

+ +

Examples

+ 
inputimage1 = imread('/images/color2.jpeg'); //read an image
+a=pyramid(inputimage1,'expand',2); //perform 'expand' operation
+imshow(a); //view the output
+b=pyramid(inputimage1,'reduce',4);
+imshow(b); //view the output
+ +

Authors

+
  • Diwakar Bhardwaj
+
+ +
+ + + + + + +
Report an issue
+ << pencilSketch + + + FOSSEE Image Processing Toolbox + + + regionFill >> + +
+
+
+ + diff --git a/help/en_US/scilab_en_US_help/regionFill.html b/help/en_US/scilab_en_US_help/regionFill.html new file mode 100644 index 0000000..5e4cfd3 --- /dev/null +++ b/help/en_US/scilab_en_US_help/regionFill.html @@ -0,0 +1,96 @@ + + + regionFill + + + +
+ + + + +
+ << pyramid + + + FOSSEE Image Processing Toolbox + + + rgb2gray >> + +
+
+
+ + + + FOSSEE Image Processing Toolbox >> FOSSEE Image Processing Toolbox > regionFill + +

+

regionFill

+

This function restores the selected region in an image using the region neighborhood.

+ + +

Calling Sequence

+ 
src = imread(location-for-image)
+x = [x1 x2 ...........xn ] //x coordinates of polygon covering the region that you want to fill
+y = [y1 y2 ...........yn ] //corresponding y coordinates of polygon covering the region that you want to fill
+dstImg 1= regionFill(srcImg,inpaintRadius,x,y)
+
+mask = roiFreeHand(srx) //making a mask - you can also use other function to make the mask
+dstImg2 = regionFill(srcImg,inpaintRadius,mask)
+ +

Parameters

+
srcImg: +

input source imge //it is converted to 8 bit internally

+
inpaintRadius: +

Radius of a circular neighborhood of each point inpainted that is considered by the algorithm(Double)

+
mask: +

Inpainting mask. Non-zero pixels indicate the area that needs to be inpainted.

+
x: +

1xn matrix denoting x coordinates of polygon covering the region that you want to fill

+
y: +

1xn matrix denoting y coordinates of polygon covering the region that you want to fill

+ +

Examples

+ 
src= imread("/images/color2.jpeg");
+p=regionFill(src,1,[100 110 110 100],[150 150 200 200]);
+imshow(p);
+ +

Examples

+ 
src= imread("/images/color2.jpeg"); //reading an image
+mask=roiFreeHand(src); //making a mask
+p=regionFill(src,5,mask);
+imshow(p);
+ +

Authors

+
  • Vinay Bhat
    • +
  • Rohan Gurve
+
+ +
+ + + + + + +
Report an issue
+ << pyramid + + + FOSSEE Image Processing Toolbox + + + rgb2gray >> + +
+
+
+ + diff --git a/help/en_US/scilab_en_US_help/rgb2gray.html b/help/en_US/scilab_en_US_help/rgb2gray.html new file mode 100644 index 0000000..cc2eea4 --- /dev/null +++ b/help/en_US/scilab_en_US_help/rgb2gray.html @@ -0,0 +1,79 @@ + + + rgb2gray + + + +
+ + + + +
+ << regionFill + + + FOSSEE Image Processing Toolbox + + + roiFreeHand >> + +
+
+
+ + + + FOSSEE Image Processing Toolbox >> FOSSEE Image Processing Toolbox > rgb2gray + +

+

rgb2gray

+

Given an original color image, this function converts it into a single channel grayscale image and return the same.

+ + +

Calling Sequence

+ 
inputImage = imread("image-location-for-inputImage");
+outputImg = rgb2gray(inputImage)
+ +

Parameters

+
outputImage: +

single channel grayscale version of the inputImage

+
inputImage: +

Input source image

+ +

Examples

+ 
src = imread("/images/color2.jpeg");
+gray = rgb2gray(src);
+imshow(gray);//view the output grayscale image
+ +

Authors

+
  • Priyanka Hiranandani
    • +
  • Rohan Gurve
+
+ +
+ + + + + + +
Report an issue
+ << regionFill + + + FOSSEE Image Processing Toolbox + + + roiFreeHand >> + +
+
+
+ + diff --git a/help/en_US/scilab_en_US_help/roiFreeHand.html b/help/en_US/scilab_en_US_help/roiFreeHand.html new file mode 100644 index 0000000..22cbfa2 --- /dev/null +++ b/help/en_US/scilab_en_US_help/roiFreeHand.html @@ -0,0 +1,96 @@ + + + roiFreeHand + + + +
+ + + + +
+ << rgb2gray + + + FOSSEE Image Processing Toolbox + + + roiPoly >> + +
+
+
+ + + + FOSSEE Image Processing Toolbox >> FOSSEE Image Processing Toolbox > roiFreeHand + +

+

roiFreeHand

+

This is a gui based function which is used to create a mask by selecting the region of interest

+ + +

Calling Sequence

+ 
src = imread(image-location-for-src)
+mask = roiFreeHand(src)
+ +

Parameters

+
mask: +

Output 8 bit mask image with same size as input image

+
image: +

Input image to be masked

+ +

Description

+

This function allows the user to create a mask by selecting the region of interest in the image. +Start selecting the region of interest by pressing the left mouse button and moving in the clockwise direction. +Don't leave the left mouse button until you are done selecting the region. Once the region has been selected, +wait until the process completes. +More than one region of interest can be selected by repeating the same procedure. +Once you are done selecting the ROI, press the small 's' key.This would stop the process. +This function returns a 8 bit mask image with (the ROI being white and the rest of the region being black).

+

Note +more than one ROI can be selected from the image. Press key 's' only after all ROI have been selected. +Move the mouse only in the clockwise direction. +This algorithm assumes that the selected points in the ROI are very close to each other. Thus for best result, move +the mouse slowly while selecting the ROI

+

+ +

Examples

+ 
src = imread("/images/color2.jpeg");
+mask = roiFreeHand(src); //creating a mask
+imshow(mask) //view the mask
+
+outputImage1 = colorChange(src, mask) //using this mask in the colorChange function
+imshow(outputImage1);//view the output
+ +

Authors

+
  • Rohan Gurve
+
+ +
+ + + + + + +
Report an issue
+ << rgb2gray + + + FOSSEE Image Processing Toolbox + + + roiPoly >> + +
+
+
+ + diff --git a/help/en_US/scilab_en_US_help/roiPoly.html b/help/en_US/scilab_en_US_help/roiPoly.html new file mode 100644 index 0000000..8691f90 --- /dev/null +++ b/help/en_US/scilab_en_US_help/roiPoly.html @@ -0,0 +1,109 @@ + + + roiPoly + + + +
+ + + + +
+ << roiFreeHand + + + FOSSEE Image Processing Toolbox + + + seamlessClone >> + +
+
+
+ + + + FOSSEE Image Processing Toolbox >> FOSSEE Image Processing Toolbox > roiPoly + +

+

roiPoly

+

This function creates mask by selecting the ROI as a poygon.

+ + +

Calling Sequence

+ 
I = imimread(image-location)
+c = [c1 c2 ..............cn]
+r = [r1 r2 ..............rn]
+BW = roipoly(I, c, r)
+ +

Parameters

+
I : +

Input image

+
c : +

a 1xn vector specifying the column indices of the vertices of the n sided polygon

+
r : +

a 1xn vector specifying the row indices of the vertices of the n sided polygon

+
BW: +

Output mask image for input I

+ +

Description

+

Returns the ROI specified by the polygon described by vectors c and r, which specify the column +and row indices of each vertex, respectively. c and r must be the same size.

+

+ +

Examples

+ 
I = imread('image_01.jpeg');
+c = [50 50 100 100]   //defining the column indices of the vertices of the ROI
+r = [100 150 150 100 ]   //defining the corresponding row indices of the vertices of the ROI
+BW = roipoly(I, c, r) //creating a mask
+imshow(BW)   //viewing the mask
+c=colorChange(I,mask,2.4 ,2.0, 2.2); //using this mask in colorChange function
+imshow(c);
+ +

Examples

+ 
I = imread('../images/color3.jpg');
+c = [ 150 200 250 300 250 200 ] ;  //defining the column indices of the vertices of the ROI
+r = [ 135 100 100 135 170 170 ] ;  //defining the corresponding row indices of the vertices of the ROI
+gray = rgb2gray(I) ;                           //for a grayscale image
+BW = roiPoly(I, c, r); //creating a mask
+imshow(BW)   //viewing the mask
+ +

Examples

+ 
I = imread('/images/color3.jpg');
+c1 = [200 250 300 250  150 200 ]
+r1 = [ 170 170 135 100 135 100]  //undesired output because changing the order of points
+BW = roiPoly(I,c1,r1);
+imshow(BW)
+ +

Authors

+
  • Vinay Bhat
    • +
  • Rohan Gurve
+
+ +
+ + + + + + +
Report an issue
+ << roiFreeHand + + + FOSSEE Image Processing Toolbox + + + seamlessClone >> + +
+
+
+ + diff --git a/help/en_US/scilab_en_US_help/scilab_code.css b/help/en_US/scilab_en_US_help/scilab_code.css new file mode 100644 index 0000000..658f42e --- /dev/null +++ b/help/en_US/scilab_en_US_help/scilab_code.css @@ -0,0 +1,96 @@ +.scilabcomment { + font-style: italic; + color: #01a801 +} + +.scilabdefault { + font-style: normal; + color: #000000 +} + +.scilabspecial { + font-style: normal; + color: #ffaa00 +} + +.scilabconstants { + font-style: normal; + color: #da70d6 +} + +.scilaboperator { + font-style: normal; + color: #5c5c5c +} + +.scilabnumber { + font-style: normal; + color: #bc8f8f +} + +.scilabfkeyword { + font-style: normal; + color: #b01813 +} + +.scilabskeyword { + font-style: normal; + color: #a020f0 +} + +.scilabckeyword { + font-style: normal; + color: #5f9ea0 +} + +.scilabcommand { + font-style: normal; + color: #32b9b9 +} + +.scilabmacro { + font-style: normal; + color: #ae5cb0 +} + +a.scilabcommand { + font-style: normal; + text-decoration: underline; + color: #32b9b9 +} + +a.scilabmacro { + font-style: normal; + text-decoration: underline; + color: #ae5cb0 +} + +.scilabstring { + font-style: normal; + color: #bc8f8f +} + +.scilabid { + font-style: normal; + color: #000000 +} + +.scilabinputoutputargs { + font-weight: bold; + color: #834310 +} + +.scilabfunctionid { + font-weight: bold; + color: #000000 +} + +.scilabfield { + font-style: normal; + color: #aaaaaa +} + +.scilabopenclose { + font-style: normal; + color: #4a55db +} diff --git a/help/en_US/scilab_en_US_help/seamlessClone.html b/help/en_US/scilab_en_US_help/seamlessClone.html new file mode 100644 index 0000000..52088e4 --- /dev/null +++ b/help/en_US/scilab_en_US_help/seamlessClone.html @@ -0,0 +1,109 @@ + + + seamlessClone + + + +
+ + + + +
+ << roiPoly + + + FOSSEE Image Processing Toolbox + + + stylization >> + +
+
+
+ + + + FOSSEE Image Processing Toolbox >> FOSSEE Image Processing Toolbox > seamlessClone + +

+

seamlessClone

+

This function is used to seamlessly clone a source image onto a destination image.

+ + +

Calling Sequence

+ 
src = imread("image-location-for-src");
+mask = roiFreeHand(src); //we can also use other function to create the mask
+outputImage = seamlessClone(src,dst,mask, pointMatirx, flag)
+ +

Parameters

+
outputImage: +

resultant Output image

+
src: +

Input source image.

+
dst: +

Input destination image on which the source image will be cloned onto .

+
mask: +

Input mask image with same size as that of source image.

+
pointMatirx: +

a 1x2 vector denoting the x & y coordinates of the point in dst where the src image will be cloned (x & y are Double)

+
flag( Cloning method that could be one of the following): +

1) 1 - NORMAL_CLONE ; 2) 2 - MIXED_CLONE ; 3) 3 - FEATURE_EXCHANGE

+ +

Description

+

Image editing tasks concern either global changes (color/intensity corrections, filters, deformations) or +local changes concerned to a selection. Here we are interested in achieving local changes, ones +that are restricted to a region manually selected (ROI), in a seamless and effortless manner. +The extent of the changes ranges from slight distortions to complete replacement by novel content

+

+

Note: The size of the source image should be equal to or less than the destination image. The point 'p' +should be chosen such that it fully fits inside the destination image.If not, then this function will throw the error=> +-(minxd >= 0 && minyd >= 0 && maxxd <= dest.rows && maxyd <= dest.cols) in seamlessClone

+

+ +

Examples

+ 
dst = imread("/images/color3.jpg"); //read destination image
+src = imread("/images/cartoon.jpg"); //read source image
+mask = roiFreeHand(src); //create a mask for source image
+output = seamlessClone(src,dst,mask,[75 120], 1 ); //perform the seamelessClone
+imshow(output);
+ +

Examples

+ 
dst = imread("/images/color3.jpg"); //read destination image
+src = imread("/images/cartoon.jpg"); //read source image
+[rows cols] = size(src)  //creating a mask for source image
+mask = zeros(rows,cols);
+mask(50:rows,1:cols) = 255;
+output = seamlessClone(src,dst,mask,[75 120], 1 ); //perform the seamelessClone
+imshow(output);
+ +

Authors

+
  • Rohan Gurve
+
+ +
+ + + + + + +
Report an issue
+ << roiPoly + + + FOSSEE Image Processing Toolbox + + + stylization >> + +
+
+
+ + diff --git a/help/en_US/scilab_en_US_help/section_ac9053c792dc9eb4ff7757c58fe12a32.html b/help/en_US/scilab_en_US_help/section_ac9053c792dc9eb4ff7757c58fe12a32.html new file mode 100644 index 0000000..9583d25 --- /dev/null +++ b/help/en_US/scilab_en_US_help/section_ac9053c792dc9eb4ff7757c58fe12a32.html @@ -0,0 +1,181 @@ + + + + + + +
+ + + + +
+ + + FOSSEE Image Processing Toolbox + + + +
+
+
+ + + + FOSSEE Image Processing Toolbox >> FOSSEE Image Processing Toolbox + +

+

FOSSEE Image Processing Toolbox

+
  • colorChange — This function seamlessly mixes two differently colored versions of the input image.
    • + + + + + +
  • convert — This function converts a matrix to another data type with optional scaling.
    • + + + + + +
  • detailEnhance — This filter enhances the details of a the given image.
    • + + + + + +
  • edgePreservingFilter — This function smoothens the given input image while preserving the edges.
    • + + + + + +
  • getDepth — This function returns the depth of the input matrix element.
    • + + + + + +
  • getStructuringElement — This function returns a structuring element required for the morphological operations.
    • + + + + + +
  • illuminationChange — This function is used to reduce specular reflections or highlight under-exposed foreground objects.
    • + + + + + +
  • localMaximaFinder — This function returns local maxima in input matrice.
    • + + + + + +
  • minAreaRect — This function is used to find a rotated rectangle of the minimum area enclosing the input 2D point set.
    • + + + + + +
  • minEnclosingCircle — This function is used to find the circumcircle of an object constituted by the given set of input points.
    • + + + + + +
  • partition — This function is used to split an imageSet.
    • + + + + + +
  • pencilSketch — This function is used to give a non-photorealistic pencil-like line drawing effect to the given input image.
    • + + + + + +
  • pyramid — This function computes the pyramid reduction or expansion of input_image.
    • + + + + + +
  • regionFill — This function restores the selected region in an image using the region neighborhood.
    • + + + + + +
  • rgb2gray — Given an original color image, this function converts it into a single channel grayscale image and return the same.
    • + + + + + +
  • roiFreeHand — This is a gui based function which is used to create a mask by selecting the region of interest
    • + + + + + +
  • roiPoly — This function creates mask by selecting the ROI as a poygon.
    • + + + + + +
  • seamlessClone — This function is used to seamlessly clone a source image onto a destination image.
    • + + + + + +
  • stylization — This function aims to produce non-photorealistic digital imagery with a wide variety of effects.
    • + + + + + +
  • templateMatcher — This function compares a template in overlapped image regions and returns the coordinates of the point of match.
    • + + + + + +
  • textureFlattening — This function washes out the texture of the selected region in the input image, giving its contents a flat aspect.
    • + + + + + +
  • watershed — This function returns a marker based segmented image for the given input image.
+
+ +
+ + + + + + +
Report an issue
+ + + FOSSEE Image Processing Toolbox + + + +
+
+
+ + diff --git a/help/en_US/scilab_en_US_help/style.css b/help/en_US/scilab_en_US_help/style.css new file mode 100644 index 0000000..0fe8923 --- /dev/null +++ b/help/en_US/scilab_en_US_help/style.css @@ -0,0 +1,350 @@ +body { + color:#000000; + background-color:#ffffff; + font-family:sans-serif; + font-size:100%; + margin:5px; + padding:0; + background : url("/img/body.png"); + background-repeat : repeat-x; +} + +.para { + padding-left: 10px; +} + +.refname { + color: #ff6c0a; +} +.refpurpose { + font-size: 110%; +} + +.synopsis { + border: 1px solid black; + width:80%; + padding: 0.5em; +} + +.editbar { + text-align: right; +} + +.term { + color:#800000; + font-size:100%; +} + +h3 { + color: #000063; + font-weight: bold; + font-size:130%; + margin-bottom: 10px; +} + +.programlisting { + font-family: monospace; + font-size: 100%; + background-color:#EEEEFF; + border-color:#CCCCCC; + border-style:solid; + border-width:2px medium; + width:80%; + color:#333333; + line-height:120%; + padding:10px; +} + +.literal { + font-family: monospace; + font-size: 100%; +} + +.option { + font-family: monospace; + font-style: italic; + font-size: 100%; +} + +.command { + font-family: monospace; + font-size: 100%; + color: #32b9b9; +} + +.function { + font-family: monospace; + font-size: 100%; + color: #32b9b9; +} + +.varname { + font-family: monospace; + font-weight: bold; + font-size: 100%; +} + +.constant { + font-family: monospace; + font-size: 100%; + color: #da70d6; +} + +a { + color: blue; + text-decoration:none; +} + +a:hover { + text-decoration:underline; +} + +.itemizedlist { + list-style-type: disk; +} + +.inline-list li { + display: inline; + list-style-type: disk; +} + +.vert-list { + list-style-type: disk; +} + +pre { + margin-bottom: 0px; + margin-top: 0px; +} + +.leftpart { + position:absolute; + float:left; + width: 186px; + padding: 5px; + font-size: smaller; +} + +.content { + margin-top: 100px; + margin-left: 196px +} + +.container { + margin: 0 auto; + width:1024px; +} + +ul.toc li.list-active { + list-style-type:disc; + font-weight:bold; +} + +ul.toc li.parent { + font-size: 115%; + padding: 5px 0px 5px 11px; + border-bottom: 1px solid #cccccc; + margin-bottom: 5px; +} + +ul.toc li.root { + font-size: 135%; + padding: 5px 0px 5px 11px; + border-bottom: 1px solid #cccccc; + margin-bottom: 5px; +} + +ul.toc li { + font-size: 85%; + margin: 1px 0 1px 1px; + padding: 1px 0 1px 11px; + background-repeat: no-repeat; + background-position: center left; + list-style-type: circle; +} + +.next { + float:right; + text-align: right; +} + +.center { + text-align: center; +} + +.screen { + font-family: monospace; + font-size: 100%; + background-color:#FFFFFF; + border-color:#CCCCCC; + border-style:solid; + border-width:2px medium; + width:80%; + color:#333333; + line-height:120%; + padding:10px; +} + +/* Top and bottom navigation controls on manual pages --------------------- */ +div.manualnavbar { + background-color: #E0E0E0; + color: inherit; + padding: 4px; + margin-bottom: 10px; +} +div.manualnavbar .prev { + padding-right: 4px; +} +div.manualnavbar .next { + text-align: right; + padding-left: 4px; +} + +div.manualnavbar .top { + text-align: center; + display: block; +} + +div.manualnavbar hr { + color: #cccccc; + background-color: #cccccc; +} + +/* Footer navigation area ------------------------------------------------- */ + +#pagefooter { + position: relative; + font-size: 75%; + color: inherit; + background-color: #e5e5e5; + width: 100%; +} + +#pagefooterleft { + top: 0px; + left: 0px; + padding: 6px; + margin-right: 30%; +} + +#pagefooterright { + text-align: right; + margin-left: 50%; + padding: 6px; +} +#footnav { + color: inherit; + background-color: #9999cc; + border-width: 1px 0px; + border-color: #333366; + border-style: solid; + text-align: right; + padding-right: 6px; +} + + + + + #global{ +/* width: 90%; */ + max-width: 90em; +/* min-width: 850px; */ + margin-left: auto; + margin-right: auto; + } + + #myHeader{ + background-color:#000000; + color:white; + margin-bottom : 10px; + position : relative; + text-align: center; +/* width : 1024px;*/ + height : 100px; + padding-left : 20px; + background : url("http://atoms.scilab.org/images/homepage/cadre_head.png"); + background-repeat : no-repeat; + background-position : 0px 0px; + + } + + #myFooter{ + background-color:#E5E5E5; + font-color:black; +/* width: 90%;*/ + max-width: 90em; +/* min-width: 850px; + margin-left: 5%; + margin-right: 5%;*/ + margin-top:10px; + padding:10px; + } + + #mainArea{ + width: 100%; + overflow: hidden; + } + + #myLeftArea{ + color:white; + float: left; + width: 180px; + padding:5px; + } + + #myMiddleArea{ + color:black; + margin-left: 200px; + padding: 10px 20px; + } + + #myRightArea{ + color:white; + float: right; + width: 200px; + padding: 12px 20px; + } + + +div#cadre_head +{ + position : relative; + text-align: center; +/* width : 1024px;*/ + height : 100px; + padding-left : 20px; + background : url("/img/cadre_head.png"); + background-repeat : no-repeat; + background-position : 0px 0px; +} + + +div#slogan{ + position: absolute; + top : 50px; + left:251px; + color:#0000AA; + font: 120%, Georgia,Serif; +} +div#cadre_help +{ + position: absolute; + top:45px; + right:0px; + font-size:0.8em; + color:#0000AA; +} + +table.revhistory +{ + width:80%; + border-color:#CCCCCC; + border-style:solid; + border-width:2px medium; + margin-bottom: 10px; +} + +table.revhistory tr.title td +{ + background-color: #9999CC; +} \ No newline at end of file diff --git a/help/en_US/scilab_en_US_help/stylization.html b/help/en_US/scilab_en_US_help/stylization.html new file mode 100644 index 0000000..45e3b44 --- /dev/null +++ b/help/en_US/scilab_en_US_help/stylization.html @@ -0,0 +1,93 @@ + + + stylization + + + +
+ + + + +
+ << seamlessClone + + + FOSSEE Image Processing Toolbox + + + templateMatcher >> + +
+
+
+ + + + FOSSEE Image Processing Toolbox >> FOSSEE Image Processing Toolbox > stylization + +

+

stylization

+

This function aims to produce non-photorealistic digital imagery with a wide variety of effects.

+ + +

Calling Sequence

+ 
src = imread("image-location-for-src");
+outputImage = stylization(src,sigma_s,sigma_r)
+ +

Parameters

+
outputImage: +

resultant Output image

+
src: +

Input 8-bit 3-channel image.

+
sigma_s: +

Range between 0 to 200 (float) (default value is 60)

+
sigma_r: +

Range between 0 to 1. (float) (default value is 0.45f)

+ +

Description

+

Edge-aware filters are ideal for stylization, as they can abstract regions of low contrast while preserving, +or enhancing, high-contrast features.

+

+ +

Examples

+ 
src = imread("/images/color2.jpeg");
+outputImage1 = stylization(src)  //using default values for optional parameters
+imshow(outputImage1);//view the output
+
+outputImage2 = stylization(src,121) //using default value for sigma_r
+imshow(outputImage2);//view the output
+
+outputImage3 = stylization(src,[],0.2) //using default value for sigma_s
+imshow(outputImage3);//view the output
+ +

Authors

+
  • Rohan Gurve
+
+ +
+ + + + + + +
Report an issue
+ << seamlessClone + + + FOSSEE Image Processing Toolbox + + + templateMatcher >> + +
+
+
+ + diff --git a/help/en_US/scilab_en_US_help/templateMatcher.html b/help/en_US/scilab_en_US_help/templateMatcher.html new file mode 100644 index 0000000..9155e2b --- /dev/null +++ b/help/en_US/scilab_en_US_help/templateMatcher.html @@ -0,0 +1,96 @@ + + + templateMatcher + + + +
+ + + + +
+ << stylization + + + FOSSEE Image Processing Toolbox + + + textureFlattening >> + +
+
+
+ + + + FOSSEE Image Processing Toolbox >> FOSSEE Image Processing Toolbox > templateMatcher + +

+

templateMatcher

+

This function compares a template in overlapped image regions and returns the coordinates of the point of match.

+ + +

Calling Sequence

+ 
[new_image x y] = templateMatcher(image, template_image)
+ +

Parameters

+
image : +

8-bit int or 32-bit floating image

+
template_image : +

Searched template. It must not be greater than the source image and have the same data type of input image.

+
newimage : +

Map of comparison results. It must be single channel 32-bit floating-point. Its size is (W-w+1) * (H-h+1) if image

+
x: +

the row no. of the location where the template matched occured in the input image

+
y: +

x: the column no. of the location where the template matched in the input image

+ +

Description

+

The function compares the w * h sized images of the original image against the template image and stores the result in the new_image. +The point of maxima in the image gives the position of the match.

+

+ +

Examples

+ 
src= imread("/images/color3.jpg"); //reading the source image
+gray_src = rgb2gray(src); //converting src to grayscale
+tem = imread("/images/smile.jpg"); //reading the template image
+tem = rgb2gray(tem);//converting template image to gray
+imshow(tem);//view the template image
+[j x y] =templateMatcher(gray_src,tem); //perform the template matching
+[rows cols] =size(tem)
+t = rectangle(src,x,y,x+cols,y+rows,0,0,255,2,8,0);  //mark the position of the point of template match in the src image
+imshow(j) //view the CV_64F output image of templateMatcher
+imshow(t) //view the src image with the template object marked
+ +

Authors

+
  • Suraj Prakash
    • +
  • Rohan Gurve
+
+ +
+ + + + + + +
Report an issue
+ << stylization + + + FOSSEE Image Processing Toolbox + + + textureFlattening >> + +
+
+
+ + diff --git a/help/en_US/scilab_en_US_help/textureFlattening.html b/help/en_US/scilab_en_US_help/textureFlattening.html new file mode 100644 index 0000000..1b0c150 --- /dev/null +++ b/help/en_US/scilab_en_US_help/textureFlattening.html @@ -0,0 +1,111 @@ + + + textureFlattening + + + +
+ + + + +
+ << templateMatcher + + + FOSSEE Image Processing Toolbox + + + watershed >> + +
+
+
+ + + + FOSSEE Image Processing Toolbox >> FOSSEE Image Processing Toolbox > textureFlattening + +

+

textureFlattening

+

This function washes out the texture of the selected region in the input image, giving its contents a flat aspect.

+ + +

Calling Sequence

+ 
src = imread("image-location-for-src");
+mask = roiFreeHand(src); //we can also use other function to create the mask
+outputImage = textureFlattening(src,mask,low_threshold,high_threshold, kernel_size);
+ +

Parameters

+
outputImage: +

resultant Output image

+
src: +

Input source image.

+
mask: +

Input mask image with same size as that of source image ( 1 or 3-channel image)

+
low_threshold: +

Range from 0 to 100. (double) (default value is 30)

+
high_threshold: +

Value > 100 & <=255. (double) (default value is 120)

+
kernel_size: +

The size of the Sobel kernel to be used: it can be 3 , 5 or 7

+ +

Description

+

It retain the gradients at edge locations, before integrating with the Poisson solver. It uses Canny Edge Detector. +The algorithm assumes that the color of the source image is close to that of the destination. +This assumption means that when the colors don't match, the source image color gets tinted toward the color of the destination image.

+

+ +

Examples

+ 
src = imread("/images/color2.jpeg");
+mask = roiFreeHand(src); //creating a mask
+imshow(mask);//view mask
+
+outputImage1 = textureFlattening(src,mask) // using default value for optional parameters
+imshow(outputImage1); // view outputImage1
+
+outputImage2 = textureFlattening(src,mask,50 , 180.5 ) //providing value for 1st and 2nd optional argument
+imshow(outputImage2); // view outputImage2
+
+outputImage2 = textureFlattening(src,mask,[],[], 7 ) //providing value for only 3rd optional argument
+imshow(outputImage3); // view outputImage3
+ +

Examples

+ 
src = imread("/images/color2.jpeg");
+[row col] = size(src)
+mask = zeros(row,col) //creating a mask
+mask(100:140,100:150) =255
+imshow(mask); view the mask
+outputImage = textureFlattening(src,mask)
+imshow(outputImage);//view the output
+ +

Authors

+
  • Rohan Gurve
+
+ +
+ + + + + + +
Report an issue
+ << templateMatcher + + + FOSSEE Image Processing Toolbox + + + watershed >> + +
+
+
+ + diff --git a/help/en_US/scilab_en_US_help/watershed.html b/help/en_US/scilab_en_US_help/watershed.html new file mode 100644 index 0000000..ca0bde4 --- /dev/null +++ b/help/en_US/scilab_en_US_help/watershed.html @@ -0,0 +1,96 @@ + + + watershed + + + +
+ + + + +
+ << textureFlattening + + + FOSSEE Image Processing Toolbox + + + +
+
+
+ + + + FOSSEE Image Processing Toolbox >> FOSSEE Image Processing Toolbox > watershed + +

+

watershed

+

This function returns a marker based segmented image for the given input image.

+ + +

Calling Sequence

+ 
src = imread("image-location-for-src");
+[dstImg] = watershed(srcImg) //uses distance transform to find the contours
+
+src = imread("image-location-for-src");
+markerMat = roiFreeHand(src); //using roiFreeHand to roughly mark the contours manually by selecting the ROI
+[dstImg] = watershed(srcImg,markerMat)
+src = imread("image-location-for-src");
+ +

Parameters

+
dstImg: +

output segmented image

+
src: +

Input source image

+
markerMat: +

a mask image with the the contours marked(region selected)

+ +

Description

+

The second calling sequence gives better results.Here the user has to manually select the region of interest using roiFreeHand. +Go through the documentation of roiFreeHand to see how it works.

+

+ +

Examples

+ 
src= imread("/images/watershed2.jpg");
+w2=watershed(src);// markers are created after performing distance transform by default
+imshow(w2);
+ +

Examples

+ 
src= imread("../images/watershed2.jpg");
+mask=roiFreeHand(src); //creating markers - selecting each coin separately using the function roiFreeHand
+w2=watershed(src,mask); //retrieve the segmented image
+imshow(w2);
+ +

Authors

+
  • Tess Zacharias
    • +
  • Ashish Manatosh Barik
    • +
  • Rohan Gurve
+
+ +
+ + + + + + +
Report an issue
+ << textureFlattening + + + FOSSEE Image Processing Toolbox + + + +
+
+
+ + diff --git a/help/en_US/scilab_en_US_help/xml_code.css b/help/en_US/scilab_en_US_help/xml_code.css new file mode 100644 index 0000000..9e4c27f --- /dev/null +++ b/help/en_US/scilab_en_US_help/xml_code.css @@ -0,0 +1,94 @@ +.xmlcomment { + font-style: italic; + color: #01a801 +} + +.xmldefault { + font-style: normal; + color: #000000 +} + +.xmlentity { + font-style: normal; + color: #ffaa00 +} + +.xmlopeninstr { + font-style: normal; + color: #000000 +} + +.xmlcloseinstr { + font-style: normal; + color: #000000 +} + +.xmlinstrname { + font-style: normal; + color: #9965a6 +} + +.xmllowtag { + font-style: normal; + color: #000000 +} + +.xmltagname { + font-style: normal; + color: #0303ff +} + +.xmllowclose { + font-style: normal; + color: #000000 +} + +.xmlopencomment { + font-style: italic; + color: #01a801 +} + +.xmlcommentend { + font-style: italic; + color: #01a801 +} + +.xmlcomment { + font-style: italic; + color: #01a801 +} + +.xmlopencdata { + font-style: normal; + color: #c45555 +} + +.xmlcdataend { + font-style: normal; + color: #c45555 +} + +.xmlcdata { + font-style: normal; + color: #000000 +} + +.xmlattributename { + font-style: normal; + color: #9965a6 +} + +.xmlequal { + font-style: normal; + color: #000000 +} + +.xmlattributevalue { + font-style: normal; + color: #973964 +} + +.xmlautoclose { + font-style: normal; + color: #000000 +} diff --git a/help/en_US/seamlessClone.xml b/help/en_US/seamlessClone.xml new file mode 100644 index 0000000..bb6591d --- /dev/null +++ b/help/en_US/seamlessClone.xml @@ -0,0 +1,104 @@ + + + + + + + + seamlessClone + This function is used to seamlessly clone a source image onto a destination image. + + + + + Calling Sequence + + src = imread("image-location-for-src"); + mask = roiFreeHand(src); //we can also use other function to create the mask + outputImage = seamlessClone(src,dst,mask, pointMatirx, flag) + + + + + + Parameters + + outputImage: + resultant Output image + src: + Input source image. + dst: + Input destination image on which the source image will be cloned onto . + mask: + Input mask image with same size as that of source image. + pointMatirx: + a 1x2 vector denoting the x & y coordinates of the point in dst where the src image will be cloned (x & y are Double) + flag( Cloning method that could be one of the following): + 1) 1 - NORMAL_CLONE ; 2) 2 - MIXED_CLONE ; 3) 3 - FEATURE_EXCHANGE + + + + + Description + +Image editing tasks concern either global changes (color/intensity corrections, filters, deformations) or +local changes concerned to a selection. Here we are interested in achieving local changes, ones +that are restricted to a region manually selected (ROI), in a seamless and effortless manner. +The extent of the changes ranges from slight distortions to complete replacement by novel content + + + + +Note: The size of the source image should be equal to or less than the destination image. The point 'p' +should be chosen such that it fully fits inside the destination image.If not, then this function will throw the error=> +-(minxd >= 0 && minyd >= 0 && maxxd <= dest.rows && maxyd <= dest.cols) in seamlessClone + + + + + + + Examples + + + + + Examples + + + + + Authors + + Rohan Gurve + + + diff --git a/help/en_US/stylization.xml b/help/en_US/stylization.xml new file mode 100644 index 0000000..3773698 --- /dev/null +++ b/help/en_US/stylization.xml @@ -0,0 +1,79 @@ + + + + + + + + stylization + This function aims to produce non-photorealistic digital imagery with a wide variety of effects. + + + + + Calling Sequence + + src = imread("image-location-for-src"); + outputImage = stylization(src,sigma_s,sigma_r) + + + + + + Parameters + + outputImage: + resultant Output image + src: + Input 8-bit 3-channel image. + sigma_s: + Range between 0 to 200 (float) (default value is 60) + sigma_r: + Range between 0 to 1. (float) (default value is 0.45f) + + + + + Description + +Edge-aware filters are ideal for stylization, as they can abstract regions of low contrast while preserving, +or enhancing, high-contrast features. + + + + + + + Examples + + + + + Authors + + Rohan Gurve + + + diff --git a/help/en_US/templateMatcher.xml b/help/en_US/templateMatcher.xml new file mode 100644 index 0000000..4b7e9b9 --- /dev/null +++ b/help/en_US/templateMatcher.xml @@ -0,0 +1,83 @@ + + + + + + + + templateMatcher + This function compares a template in overlapped image regions and returns the coordinates of the point of match. + + + + + Calling Sequence + + [new_image x y] = templateMatcher(image, template_image) + + + + + + Parameters + + image : + 8-bit int or 32-bit floating image + template_image : + Searched template. It must not be greater than the source image and have the same data type of input image. + newimage : + Map of comparison results. It must be single channel 32-bit floating-point. Its size is (W-w+1) * (H-h+1) if image + x: + the row no. of the location where the template matched occured in the input image + y: + x: the column no. of the location where the template matched in the input image + + + + + Description + +The function compares the w * h sized images of the original image against the template image and stores the result in the new_image. +The point of maxima in the image gives the position of the match. + + + + + + + Examples + + + + + Authors + + Suraj Prakash + Rohan Gurve + + + diff --git a/help/en_US/textureFlattening.xml b/help/en_US/textureFlattening.xml new file mode 100644 index 0000000..75a3e37 --- /dev/null +++ b/help/en_US/textureFlattening.xml @@ -0,0 +1,104 @@ + + + + + + + + textureFlattening + This function washes out the texture of the selected region in the input image, giving its contents a flat aspect. + + + + + Calling Sequence + + src = imread("image-location-for-src"); + mask = roiFreeHand(src); //we can also use other function to create the mask + outputImage = textureFlattening(src,mask,low_threshold,high_threshold, kernel_size); + + + + + + Parameters + + outputImage: + resultant Output image + src: + Input source image. + mask: + Input mask image with same size as that of source image ( 1 or 3-channel image) + low_threshold: + Range from 0 to 100. (double) (default value is 30) + high_threshold: + Value > 100 & <=255. (double) (default value is 120) + kernel_size: + The size of the Sobel kernel to be used: it can be 3 , 5 or 7 + + + + + Description + +It retain the gradients at edge locations, before integrating with the Poisson solver. It uses Canny Edge Detector. +The algorithm assumes that the color of the source image is close to that of the destination. +This assumption means that when the colors don't match, the source image color gets tinted toward the color of the destination image. + + + + + + + Examples + + + + + Examples + + + + + Authors + + Rohan Gurve + + + diff --git a/help/en_US/watershed.xml b/help/en_US/watershed.xml new file mode 100644 index 0000000..1e43f3c --- /dev/null +++ b/help/en_US/watershed.xml @@ -0,0 +1,90 @@ + + + + + + + + watershed + This function returns a marker based segmented image for the given input image. + + + + + Calling Sequence + + + src = imread("image-location-for-src"); + [dstImg] = watershed(srcImg) //uses distance transform to find the contours + + src = imread("image-location-for-src"); + markerMat = roiFreeHand(src); //using roiFreeHand to roughly mark the contours manually by selecting the ROI + [dstImg] = watershed(srcImg,markerMat) + src = imread("image-location-for-src"); + + + + + + Parameters + + dstImg: + output segmented image + src: + Input source image + markerMat: + a mask image with the the contours marked(region selected) + + + + + Description + +The second calling sequence gives better results.Here the user has to manually select the region of interest using roiFreeHand. +Go through the documentation of roiFreeHand to see how it works. + + + + + + + Examples + + + + + Examples + + + + + Authors + + Tess Zacharias + Ashish Manatosh Barik + Rohan Gurve + + + diff --git a/images/accordion/image_0001.jpg b/images/accordion/image_0001.jpg new file mode 100644 index 0000000000000000000000000000000000000000..fb0ff1b81d883ff76d02f3eba1e5b5776b9074ab GIT binary patch literal 25120 zcmbTdbyOVD^Dj6sz(8^!C`Rspuq_cYyts-Yj6n=WRT$Q&fxA4 zSiW!fxBK?JJ@4%9?Ni->`c3k&lF4hb#}HZ~3=5ivdqEfqZ-Efoz70~03;!%KEB4b5wzH|*Rz{QUg% zEKo5BuP7%UKkt7!LBYbp!okL&z{REDWu#%`{r}vaIsk;2DC{U`K$MpNR6-OWA<9!X 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