Susan and Harris Corner Detection Algorithms

This documentation presents corner detection implementations using both Susan and Harris algorithms, programmed in MATLAB. The MATLAB code is structured for excellent readability and comprehension, making it accessible even for beginners. Corner detection represents a fundamental image processing technique that identifies and extracts corner points from images, enabling better understanding of image structures and features. The implementation includes key functions such as: - Susan corner detector utilizing circular masks and brightness comparison thresholds - Harris corner detector employing image gradients and autocorrelation matrices - Non-maximum suppression for optimal corner localization - Parameter tuning interfaces for different image characteristics Through these algorithms, we can effectively analyze and process image data, providing enhanced capabilities for research and practical applications in computer vision. The code includes detailed comments explaining the mathematical foundations of each algorithm, including the Susan principle of Univalue Segment Assimilating Nucleus and Harris' corner response function calculation.