Presentation | 2004/6/18 Measurement of Skin Texture Using Genetic Picture Analysis Michiyo NISHIOKA, Yasue MITSUKURA, Minoru FUKUMI, Norio AKAMATSU, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Binarization by genetic image processing for presumption of skin age is proposed using the genetic programming which is one of evolutional computing methods. Skin age can be estimated by skin texture, but it is difficult to binarize skin pictures for individual difference. So, results obtained by the genetic image processing were learned in consideration of individual difference, and better results were obtained. Although FFT was performed to skin picture and the classification experiment was a carried out by a neural network as a comparative study, an effective classification result was not obtained in FFT followed by NN. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Genetic Programing / Skin Texture Image / Neural Network |
Paper # | NC2004-39 |
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Committee | NC |
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Conference Date | 2004/6/18(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 | Neurocomputing (NC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Measurement of Skin Texture Using Genetic Picture Analysis |
Sub Title (in English) | |
Keyword(1) | Genetic Programing |
Keyword(2) | Skin Texture Image |
Keyword(3) | Neural Network |
1st Author's Name | Michiyo NISHIOKA |
1st Author's Affiliation | Faculty of Engineering, The University of Tokushima() |
2nd Author's Name | Yasue MITSUKURA |
2nd Author's Affiliation | Faculty of Education, Okayama University |
3rd Author's Name | Minoru FUKUMI |
3rd Author's Affiliation | Faculty of Engineering, The University of Tokushima |
4th Author's Name | Norio AKAMATSU |
4th Author's Affiliation | Faculty of Engineering, The University of Tokushima |
Date | 2004/6/18 |
Paper # | NC2004-39 |
Volume (vol) | vol.104 |
Number (no) | 140 |
Page | pp.pp.- |
#Pages | 5 |
Date of Issue |