Image-Processing-cpp

This project presents a non exhaustive list of image processing algorithms. The algorithms are implemented in C and C++ and all images used are in pgm format.

Prerequisites

To follow this tutorial, you need to install the g++ compiler on your PC.
All examples here are based on a Linux environment but can be easily adapted for Windows based environments.

Clone this repo into your environment and cd into the ImageProcessing folder:

git clone https://github.com/Yuhala/image-processing-cpp.git && cd ImageProcessing

Compile the program:

sudo g++ main.cpp Image.cpp -o app

The program presents 26 image processing algorithms. Logic operations, mathematical operations, convolutions and filters, and calculating an image histogram, image luminance, and contrast enhancement algorithms.
The program can take 3, 4, or 5 arguments, including the name of the binary (arg 0).
The sample images used are in the images folder and are all .pgm format.
The image resulting from each operation is generated in the output.pgm
Below is a list of some of the operations provided by the program and how you can test them on images.

Image binarization based on Otsu's thresholding algorithm: ./app otsuBinarize images/lena.pgm

A full list of all the implemented algorithms can be found in page 2 of documentation.
Enter each operation in camel case when testing, just like in the examples above.
Digital image processing 4th Edition, by Rafael C. Gonzalez
Digital image processing in C++
Repository

Resize an image: convert img.png -resize 300x300\> output.png (Target size in this example is 300x300).
Identify image resolution (width x height): identify -format "%wx%h" image.png (Install imagemagick linux package).

Peterson Yuhala
[email protected]
Feel free to contact me for more info or to propose fixes.
Disclaimer: I am not an image processing expert and this code is meant solely for educational purposes.

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