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Iranian Journal of Fuzzy Systems، جلد ۹، شماره ۶، صفحات ۶۹-۸۵
عنوان فارسی A FUZZY DIFFERENCE BASED EDGE DETECTOR
چکیده فارسی مقاله In this paper, a new algorithm for edge detection based on fuzzy
concept is suggested. The proposed approach de nes dynamic membership
functions for di
erent groups of pixels in a 3 by 3 neighborhood of the central
pixel. Then, fuzzy distance and


-cut theory are applied to detect the edge
map by following a simple heuristic thresholding rule to produce a thin edge
 
image. A large number of experiments are employed to con rm the robustness
 
of the proposed algorithm. In the experiments di
erent cases such as normal
 
images, images corrupted by Gaussian noise, and uneven lightening images
 
are involved. The results obtained are compared with some famous algorithms
 
such as Canny and Sobel operators, a competitive fuzzy edge detector, and a
 
statistical based edge detector. The visual and quantitative comparisons show
 
the e
ectiveness of the proposed algorithm even for those images that were
 
corrupted by strong noise.
 
 
کلیدواژه‌های فارسی مقاله Edge detection، Fuzzy edge detection، Dynamic membership function، Fuzzy di erence، Noisy images،
عنوان انگلیسی A FUZZY DIFFERENCE BASED EDGE DETECTOR
چکیده انگلیسی مقاله In this paper, a new algorithm for edge detection based on fuzzy
concept is suggested. The proposed approach defi nes dynamic membership
functions for diff erent groups of pixels in a 3 by 3 neighborhood of the central
pixel. Then, fuzzy distance and -cut theory are applied to detect the edge
map by following a simple heuristic thresholding rule to produce a thin edge
image. A large number of experiments are employed to confi rm the robustness
of the proposed algorithm. In the experiments diff erent cases such as normal
images, images corrupted by Gaussian noise, and uneven lightening images
are involved. The results obtained are compared with some famous algorithms
such as Canny and Sobel operators, a competitive fuzzy edge detector, and a
statistical based edge detector. The visual and quantitative comparisons show
the e ffectiveness of the proposed algorithm even for those images that were
corrupted by strong noise.
کلیدواژه‌های انگلیسی مقاله Edge detection, Fuzzy edge detection, Dynamic membership function, Fuzzy di erence, Noisy images
نویسندگان مقاله محمدعلی نیکویی ماهانی | m a nikouei mahani
electrical engineering department, shahid bahonar univer- sity of kerman, kerman, iran

محمد کوهی مقدم | koohi moghadam
school of computer engineering, iran university of science and technology, tehran, iran
سازمان اصلی تایید شده: دانشگاه علم و صنعت ایران (Iran university of science and technology)

حسین نظام آبادی پور | nezamabadi pour
electrical engineering department, shahid bahonar uni- versity of kerman, kerman, iran

نشانی اینترنتی http://ijfs.usb.ac.ir/article_114_04f71f0b2f0662f7763880565a251dae.pdf
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