Hough Transform for Line Detection

To detect straight lines in images, we can utilize the Hough transform technique. The Hough transform converts points from image space into lines in parameter space, where each line corresponds to potential line candidates in the original image. In MATLAB implementation, we typically use the hough() function to create the accumulator array representing the parameter space. Peak detection is then performed on the Hough transform matrix to identify local maxima, which correspond to the most prominent lines in the image. This can be achieved using MATLAB's houghpeaks() function with parameters controlling the minimum peak distance and threshold values. Line detection involves converting the identified peaks back to line segments in the original image space using the houghlines() function. This function processes the Hough transform peaks and extracts line segments based on specified fill gap and minimum length parameters. Finally, line linking techniques connect the detected line segments to form complete lines. This may involve merging collinear segments, filling small gaps between segments, and eliminating false detections. The entire process can be efficiently implemented using MATLAB's Image Processing Toolbox functions, providing accurate line detection results for various computer vision applications.