Image To Co-occurrence Probability

These codes are written in C++ and have been verified to work with OpenCV 3.4.3.

Calculates the probability of co-occurrence from gray-scale images. The obtained co-occurrence probability can be plotted as a 2D image or a 3D histogram.

Requirement

• c++17
• OpenCV 3.4.3
• Python 3.8.10
• matplotlib 3.4.2

Demo

1. Clone

$ git clone https://github.com/sakusakueva/ImageToCo-occurrenceProbability.git
$ cd ImageToCo-occurrenceProbability

2. Compile

When you compile with make, you will have a build directory and a result directory.

$ make

3. Run

Please enter the following command to run the sample program.

$ ./Co-P -i <input image path>

If you want to try it out right now, try the following command.

$ ./Co-P -i MandrillGray.bmp

4. Visualization

If you want to show the 2D histogram with 3D histogram, run the following.

$ /usr/bin/python3 scripts/hist_3d.py

Note

I have only tested in the following environment:

• Ubuntu 20.04
• c++17
• OpenCV 3.4.3
• Python 3.8.10
• matplotlib 3.4.2

Usage

The output of the CoP class is as follows:

Mode	Argument	Default
Save image	image	true
1D text file	text	true
Show image	window	true

Author

• Sakura Eba
• Chukyo University, Japan.
• Lab URL: http://asmi.sist.chukyo-u.ac.jp/m1/eba/

License

"ImageToCo-occurrenceProbability" is under MIT license.