Line Extraction Using Hough Transform in Image Segmentation

In image segmentation, MATLAB source code utilizing Hough transform for line extraction offers a specialized approach that differs from conventional edge detection algorithms. The Hough transform operates as a mathematically-principled image processing technique that effectively extracts linear features from images. The implementation involves mapping each image pixel into a parameter space (Hough space) where straight lines are represented as sinusoidal curves. By detecting accumulation peaks in this parameter space through functions like hough() and houghpeaks(), the algorithm identifies dominant lines in the original image. Key MATLAB functions include edge detection preprocessing with edge() (using Canny or Sobel operators), followed by Hough space computation and peak localization. Despite its mathematical complexity involving coordinate transformations and voting mechanisms, the Hough transform demonstrates broad applicability in image segmentation tasks. This method enables precise extraction of linear structures, facilitating advanced image analysis and processing stages. Mastering Hough transform implementation is therefore essential for research and practical applications in image segmentation, particularly when working with architectural, industrial, or document analysis scenarios where linear features are predominant.