C++ OpenCV Algorithm Implementations

A number of image processing and computer vision algorithms implemented with the help of OpenCV. The project is part of a series of assignemts in HCMUS' Computer Vision course.

Contents

• data/ folder contains some sample input and output images
• include/ folder contains C++ header files (*.h extension)
• src/ folder contains C++ source files (*.cpp extension)

Algorithms

At the moment, the following algorithms and processes are implemented:

• -rgb2grayscale$^1$: convert RGB to grayscale image
• -brightness$^1$: adjust brightness of the image by a given factor
• -contrast$^1$: adjust brightness of the image by a given factor
• -avg, -med, and -gau$^2$: apply image filtering with average, median, and Gaussian kernel respectively
• -sobel, -laplace$^2$: edge detection using $3 \times 3$ Sobel and Laplacian kernel respectively
• -harris$^2$: corner detection with Harris detector

Notes
$^1$ see file src/process.cpp for detailed implementation
$^2$ see file src/filter.cpp for detailed implementation

Usage

Compile the program using your choice of environment and invoke the executable.

Here I present the Bash syntax to run the program in Ubuntu terminal:

input="path/to/input/image"
output="path/to/input/image"
factor=1.5  # a floating point number
ksize=5     # integer kernel size (must be an odd number)

# Examples of how to run the program
./main -rgb2gray $input $output
./main -brightness $input $output $factor
./main -contrast $input $output $factor
./main -avg $input $output $ksize
./main -med $input $output $ksize
./main -gau $input $output $ksize
./main -sobel $input $output
./main -laplace $input $output

Acknowledgements

The testing samples used in this project are products of NASA/ESA Hubble Space Telescope, Twitter user hitsukuya, miHoYo Co., Ltd., and unknown creator of an Internet meme. All data were used for educational and research purposes.