MATLAB Corner Detection Program Implementation

I am delighted to share this highly practical MATLAB corner detection program that enables efficient and accurate detection of corner points in digital images. Corner detection represents a fundamental task in computer vision, playing crucial roles in applications such as object tracking, image matching, and 3D reconstruction. This implementation utilizes the Harris corner detection algorithm which calculates the corner response function through image gradient analysis and eigenvalue computation. The program includes key functions for: 1) Image preprocessing and gradient calculation using Sobel operators, 2) Structure tensor computation for local image patches, 3) Corner response measurement based on eigenvalue analysis, and 4) Non-maximum suppression for optimal corner selection. You can easily integrate this program into your research projects to identify critical feature points in images, with customizable parameters for sensitivity thresholds and neighborhood sizes. Should you have any questions or suggestions regarding the implementation details or algorithm optimization, please feel free to contact me. Thank you!