Hough Transform is a classic computer vision algorithm for detecting geometric shapes (lines, circles, ellipses) in images, even with partial occlusion or noise. It converts shape detection into a voting problem in parameter space: for lines, it maps edge points to possible line equations; for circles, it identifies center-radius combinations. Used in robotics (path planning), industrial inspection (part alignment), and document analysis (line detection).
