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Proceedings Paper

Optimization Techniques For Edge And Contour Detection
Author(s): S. O. Belkasim; M. Shridhar; M. Ahmadi
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Paper 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.

Paper Details

Date Published: 12 October 1988
PDF: 9 pages
Proc. SPIE 0956, Piece Recognition and Image Processing, (12 October 1988); doi: 10.1117/12.947684
Show Author Affiliations
S. O. Belkasim, University of Windsor (Canada)
M. Shridhar, University of Windsor (Canada)
M. Ahmadi, University of Windsor (Canada)


Published in SPIE Proceedings Vol. 0956:
Piece Recognition and Image Processing
Wayne Wiitanen, Editor(s)

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