Experimental Program for HOUGH Transform in Image Processing

In image processing, the HOUGH transform serves as a fundamental image analysis technique primarily used for detecting lines and curves within digital images. This experimental program is implemented using MATLAB, featuring practical image testing and analysis capabilities. The implementation typically utilizes MATLAB's image processing toolbox functions such as hough() for transform calculation and houghpeaks() for peak detection, which identify potential lines in the parameter space. The algorithm works by converting image points from Cartesian coordinates to Hough parameter space, where collinear points generate intersecting curves. This method finds extensive applications in computer vision and image processing domains, enabling researchers to effectively analyze and process image data through parameterized detection of geometric shapes. The program includes visualization components that demonstrate the transformation process and detection results using sample images.