A FUZZY DIFFERENCE BASED EDGE DETECTOR
Publish place: Iranian Journal of Fuzzy Systems، Vol: 9، Issue: 6
Publish Year: 1391
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:
JR_IJFS-9-6_006
تاریخ نمایه سازی: 5 تیر 1401
Abstract:
In this paper, a new algorithm for edge detection based on fuzzyconcept is suggested. The proposed approach defi nes dynamic membershipfunctions for diff erent groups of pixels in a ۳ by ۳ neighborhood of the centralpixel. Then, fuzzy distance and -cut theory are applied to detect the edgemap by following a simple heuristic thresholding rule to produce a thin edgeimage. A large number of experiments are employed to confi rm the robustnessof the proposed algorithm. In the experiments diff erent cases such as normalimages, images corrupted by Gaussian noise, and uneven lightening imagesare involved. The results obtained are compared with some famous algorithmssuch as Canny and Sobel operators, a competitive fuzzy edge detector, and astatistical based edge detector. The visual and quantitative comparisons showthe e ffectiveness of the proposed algorithm even for those images that werecorrupted by strong noise.
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Authors
M. A. Nikouei Mahani
Electrical Engineering Department, Shahid Bahonar Univer- sity of Kerman, Kerman, Iran
Mohamad Koohi Moghadam
School of Computer Engineering, Iran University of Science and Technology, Tehran, Iran
Hosein Nezamabadi-pour
Electrical Engineering Department, Shahid Bahonar Uni- versity of Kerman, Kerman, Iran
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