Edge detection using fuzzy switch

Wing-Kuen Ling; Kwong-Shun Tam

doi:10.1117/12.468016

22 May 2002 Edge detection using fuzzy switch

Wing-Kuen Ling, Kwong-Shun Tam

Proceedings Volume 4667, Image Processing: Algorithms and Systems; (2002) https://doi.org/10.1117/12.468016
Event: Electronic Imaging, 2002, San Jose, California, United States

Abstract

Edge detection is the first step for some boundary extraction and boundary representation algorithms. In this paper, a fuzzy switch approach is proposed. Different existing edge filters, such as Sobel filter, Prewitt filter, Roberts filter, Isotropic filter and Canny filter, are viewed as different expert systems. In order to capture the knowledge from these expert systems, a fuzzifier is employed, which normalizes the output of each edge filter to a matrix with the values of its elements being in between zero and one. By comparing the corresponding elements in these matrices, those with the highest values are with the highest fuzzy membership values of being at an edge point. A fuzzy engine can then be designed to select the highest fuzzy membership values. Then, a defuzzifier maps the selected membership value to a crisp point, which is either zero or one. Simulations were carried out using the Sobel filter, Prewitt filter, Roberts filter, Isotropic filter and Canny filter as the edge filters. It can be concluded from the simulations that the proposed algorithm captures the advantages of the expert filters.

Citation Download Citation

Wing-Kuen Ling and Kwong-Shun Tam "Edge detection using fuzzy switch", Proc. SPIE 4667, Image Processing: Algorithms and Systems, (22 May 2002); https://doi.org/10.1117/12.468016

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KEYWORDS

Edge detection

Fuzzy logic

Switches

Computer simulations

Detection and tracking algorithms

Image processing

Matrices

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