Presentation | 1997/4/18 Edge Extraction Based on Fuzzy Rules Katsuhide SHIMIZU, Kaoru ARAKAWA, |
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PDF Download Page | PDF download Page Link |
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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | fuzzy / edge extraction / image processing |
Paper # | DSP97-2,IE97-2 |
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Conference Information | |
Committee | IE |
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Conference Date | 1997/4/18(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Image Engineering (IE) |
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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 |
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