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http://dx.doi.org/10.6109/jkiice.2011.15.9.1925

A Study on Canny Edge Detector Design Based on Image Fuzzification  

Park, Mi-Young (호남대학교 컴퓨터공학과)
Kim, Chul-Won (호남대학교 컴퓨터공학과)
Park, Jong-Hoon (중부대학교 컴퓨터학과)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.15, no.9, 2011 , pp. 1925-1931 More about this Journal
Abstract
This paper suggests an approach to the subtle concept, "good", through the fuzzy logic and the design of the Canny edge detector of Gray scale images based on the rules of fuzzy anisotropic diffusion. The Canny edge detection algorithms design is to divide the gray levels into pixels and then calculate the diffusion coefficients at each pixel of non-edgy regions. Based on this processing, we present the Canny edge detector implementing fuzzy logic and comparing the results to other existing methods. The proposed approach is the narrow dynamic range of the gray-level image Sharpening the edge detection and has the advantage.
Keywords
Edge detector; Fuzzification; Canny; Tizhoosh;
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