A FUZZY DIFFERENCE BASED EDGE DETECTOR
نویسندگان
1 Electrical Engineering Department, Shahid Bahonar Uni- versity of Kerman, Kerman, Iran
2 Electrical Engineering Department, Shahid Bahonar Univer- sity of Kerman, Kerman, Iran
3 School of Computer Engineering, Iran University of Science and Technology, Tehran, Iran
doi
10.22111/ijfs.2012.114چکیده
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 3 by 3 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.
