Abstract: An edge detection system and method implement a recursive polar algorithm process to generate an edge image from an input image. The edge detection system may include a polar filter to recursively perform low-pass filtering along edge contours of a gradient pixel grid and generate a gradient image output. An edge thinner may be included to find gradient field peaks along a direction of gradient vectors of the gradient image output and generate thinned gradient pixels. An edge path segmenter may group the thinned gradient pixels into edge segments, and a segment classifier may determine whether the edge segments are edge paths or clutter. The edge detection system and method may improve automated image processing in medical diagnostics, reconnaissance, missile guidance, hazard or threat warning systems, security systems, access control systems (e.g., face recognition), navigation, geographic mapping, manufacturing quality inspection, robot vision, and search and rescue.

Abstract: An edge detection system and method implement a recursive polar algorithm process to generate an edge image from an input image. The edge detection system may include a polar filter to recursively perform low-pass filtering along edge contours of a gradient pixel grid and generate a gradient image output. An edge thinner may be included to find gradient field peaks along a direction of gradient vectors of the gradient image output and generate thinned gradient pixels. An edge path segmenter may group the thinned gradient pixels into edge segments, and a segment classifier may determine whether the edge segments are edge paths or clutter. The edge detection system and method may improve automated image processing in medical diagnostics, reconnaissance, missile guidance, hazard or threat warning systems, security systems, access control systems (e.g., face recognition), navigation, geographic mapping, manufacturing quality inspection, robot vision, and search and rescue.