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
Conference Date 2004/6/18(1days)
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Registration To Neurocomputing (NC)
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