Optimization Techniques For Edge And Contour Detection
Saeid O. Belkasim, M. Shridhar, Majid A. Ahmadi · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1988
This paper presents two new approaches for optimum detection of edges and contours in a gray level image of a scene with a constant background. The first algorithm determines the optimum tolerance for edge tracking that maximizes the number of edge pixels in each object in the image, while the second algorithm utilizes an iterative thresholding scheme in conjunction with a golden-section optimization technique to determine the optimum threshold that maximizes the number of contours and the number of pixels in the contours.