Canny

Canny is a simple edge detection application that applies the Canny edge detection algorithm to images.

Features

• Load and display images
• Apply Canny edge detection with customizable parameters
• Save processed images

Getting Started

Prerequisites

• Python 3.6+
• Required packages:
  • OpenCV (cv2)
  • NumPy
  • Matplotlib (for visualization)

Installation

1. Clone this repository:

   git clone https://github.com/yourusername/Canny.git
   cd Canny
   

2. Install dependencies:

   pip install opencv-python numpy matplotlib
   

Usage

Run the main script:

python canny.py

Adjust the threshold parameters to control the sensitivity of the edge detection.

How It Works

The Canny edge detection algorithm works through these steps:

1. Noise reduction using Gaussian filter
2. Gradient calculation
3. Non-maximum suppression
4. Double threshold to determine potential edges
5. Edge tracking by hysteresis

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

• Based on John F. Canny's edge detection algorithm
• Inspired by computer vision techniques in image processing