MATLAB Implementation of a Special Generalized Hough Transform Method for Recognizing Fragmented Shapes

Based on the research paper "A Special Generalized Hough Transform Method for Recognizing Fragmented Shapes," we developed and implemented experimental MATLAB source code. The implementation includes two core components: template generation algorithms and generalized Hough transform code. Our specialized generalized Hough transform approach enables effective recognition and processing of fragmented shapes, significantly enhancing image processing performance. The experimental framework incorporates various image testing scenarios to validate the method's feasibility and accuracy. This research provides valuable contributions to the image processing field, offering practical implementation references through MATLAB functions for edge detection, feature extraction, and pattern matching algorithms that handle partial or broken visual patterns. The code structure includes modular components for parameter configuration, transformation matrix computation, and similarity measurement between template and target fragments.