Presentation 1997/4/18
Edge Extraction Based on Fuzzy Rules
Katsuhide SHIMIZU, Kaoru ARAKAWA,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) A novel edge detection technique based on fuzzy rules is proposed. This technique utilizes human knowledge on how an edge should be extracted depending on the local characteristics of image. The knowledge is represented by fuzzy rules and is also represented by a multidimensional nonlinear function which can be optimally designed by training. Computer simulations verify the high performance of this method.
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Keyword(in English) fuzzy / edge extraction / image processing
Paper # DSP97-2,IE97-2
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Committee IE
Conference Date 1997/4/18(1days)
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Registration To Image Engineering (IE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Edge Extraction Based on Fuzzy Rules
Sub Title (in English)
Keyword(1) fuzzy
Keyword(2) edge extraction
Keyword(3) image processing
1st Author's Name Katsuhide SHIMIZU
1st Author's Affiliation Dept. of Computer Science, Meiji University()
2nd Author's Name Kaoru ARAKAWA
2nd Author's Affiliation Dept. of Computer Science, Meiji University
Date 1997/4/18
Paper # DSP97-2,IE97-2
Volume (vol) vol.97
Number (no) 11
Page pp.pp.-
#Pages 8
Date of Issue