Optimization Techniques For Edge And Contour Detection

S. O. Belkasim; M. Shridhar; M. Ahmadi

doi:10.1117/12.947684

12 October 1988 Optimization Techniques For Edge And Contour Detection

S. O. Belkasim, M. Shridhar, M. Ahmadi

Proceedings Volume 0956, Piece Recognition and Image Processing; (1988) https://doi.org/10.1117/12.947684
Event: SPIE International Symposium on Optical Engineering and Industrial Sensing for Advance Manufacturing Technologies, 1988, Dearborn, MI, United States

Abstract

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.

Citation Download Citation

S. O. Belkasim, M. Shridhar, and M. Ahmadi "Optimization Techniques For Edge And Contour Detection", Proc. SPIE 0956, Piece Recognition and Image Processing, (12 October 1988); https://doi.org/10.1117/12.947684

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