MATLAB Implementation of Hough Transform for Edge Detection

This documentation presents a highly practical MATLAB implementation of the Hough transform, primarily designed for edge detection and image processing tasks. The program incorporates multiple algorithmic approaches, with the Canny edge detector serving as a key component for robust feature extraction. Implementation details include parameterizable threshold settings for hysteresis-based edge tracking and Gaussian filtering for noise reduction. Users can customize algorithm parameters such as sigma values for gradient calculation and voting thresholds in the Hough accumulator space to achieve optimal image processing results. The code structure facilitates easy integration of additional edge detection operators through modular function design. Suitable for both educational purposes and professional applications, this implementation provides researchers and engineers with an adaptable framework for computer vision experiments. The program's commented source code includes clear explanations of coordinate transformation mechanisms and peak detection methods in parameter space. Should you require technical assistance or implementation guidance, please feel free to seek further clarification.