Rectangle Detection through Image Segmentation - Hough Transform-based Approach with MATLAB Implementation

Line extraction based on Hough Transform represents a widely-used image processing technique. This method effectively detects various lines in images, including horizontal, vertical, and diagonal lines. The implementation typically involves using MATLAB's Hough functions (hough, houghpeaks, houghlines) to identify prominent line segments. By analyzing the intersections of these detected lines, the algorithm determines rectangular patterns within images and calculates their geometric centers. This approach combines robust image processing methodologies with fundamental rectangular geometric properties, and has been experimentally verified as effective.

Notably, this technique not only detects lines within rectangular shapes but can also identify rectangles among diverse pattern types (including triangles, circles, hearts, etc.). This versatility holds significant practical value for applications such as robotic vision, autonomous vehicles, and industrial inspection systems. The algorithm incorporates shape discrimination logic that filters line intersections based on angle constraints and parallel line verification.

For interested users, the complete MATLAB package contains fully functional code with comprehensive comments, sample images for testing, and pre-configured detection parameters. The main script (rectangle_detection.m) demonstrates the complete workflow from image preprocessing to center coordinate calculation. We hope this method provides valuable insights, and welcome suggestions for improvement to foster collective advancement in image processing techniques.