Fuzzy reasoning-based edge detection method using multiple features
نویسندگان
چکیده
Edge detection is an indispensable part of image processing. In this paper, a novel edge detection method based on multiple features and fuzzy reasoning is proposed, in which the limitations of gradient-based edge detection methods and present fuzzy edge detection algorithms can be overcome. The new method selects trapezoid fuzzy membership functions, defines multiple features for each pixel from its neighbors, constructs two sets of fuzzy rules and applies fuzzy reasoning process to determine whether the central pixel is an edge point or not. Extensive experimental results demonstrate that the proposed method performs well in keeping low contrast and blurry edge details, noise suppression and fuzzy rules complexity. Key-Words: Edge detection, Multiple features, Fuzzy reasoning, Trapezoid fuzzy membership functions, Noise suppression
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