Measurement of skin texture using genetic image analysis

M. Nishioka, M. Fukumi, N. Akamatsu, Yasue Mitsukura

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

A binarization method of images for presumption of skin age is proposed using the genetic programming (GP) which is the evolutional computing method. Skin age can be estimated by skin texture, but it is difficult to binarize skin images owing to individual differences. Therefore, results obtained by a genetic image processing were achieved with consideration of individual differences, and good results were obtained, the fast fourier transform (FFT) was performed to skin images and the classification experiment was carried out by a neural network (NN) as a comparative experiment. However it is demonstrated that an effective classification result was not obtained by FFT and NN compared to our approach.

Original languageEnglish
Title of host publicationProceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004
EditorsS.J. Ko
Pages787-791
Number of pages5
Publication statusPublished - 2004
Externally publishedYes
EventProceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004 - Seoul, Korea, Republic of
Duration: 2004 Nov 182004 Nov 19

Other

OtherProceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004
CountryKorea, Republic of
CitySeoul
Period04/11/1804/11/19

Fingerprint

Image analysis
Skin
Textures
Fast Fourier transforms
Neural networks
Genetic programming
Image processing
Experiments

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Nishioka, M., Fukumi, M., Akamatsu, N., & Mitsukura, Y. (2004). Measurement of skin texture using genetic image analysis. In S. J. Ko (Ed.), Proceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004 (pp. 787-791)

Measurement of skin texture using genetic image analysis. / Nishioka, M.; Fukumi, M.; Akamatsu, N.; Mitsukura, Yasue.

Proceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004. ed. / S.J. Ko. 2004. p. 787-791.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Nishioka, M, Fukumi, M, Akamatsu, N & Mitsukura, Y 2004, Measurement of skin texture using genetic image analysis. in SJ Ko (ed.), Proceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004. pp. 787-791, Proceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004, Seoul, Korea, Republic of, 04/11/18.
Nishioka M, Fukumi M, Akamatsu N, Mitsukura Y. Measurement of skin texture using genetic image analysis. In Ko SJ, editor, Proceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004. 2004. p. 787-791
Nishioka, M. ; Fukumi, M. ; Akamatsu, N. ; Mitsukura, Yasue. / Measurement of skin texture using genetic image analysis. Proceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004. editor / S.J. Ko. 2004. pp. 787-791
@inproceedings{907160c564fb41e9ba0f251f1a3695d7,
title = "Measurement of skin texture using genetic image analysis",
abstract = "A binarization method of images for presumption of skin age is proposed using the genetic programming (GP) which is the evolutional computing method. Skin age can be estimated by skin texture, but it is difficult to binarize skin images owing to individual differences. Therefore, results obtained by a genetic image processing were achieved with consideration of individual differences, and good results were obtained, the fast fourier transform (FFT) was performed to skin images and the classification experiment was carried out by a neural network (NN) as a comparative experiment. However it is demonstrated that an effective classification result was not obtained by FFT and NN compared to our approach.",
author = "M. Nishioka and M. Fukumi and N. Akamatsu and Yasue Mitsukura",
year = "2004",
language = "English",
isbn = "0780386396",
pages = "787--791",
editor = "S.J. Ko",
booktitle = "Proceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004",

}

TY - GEN

T1 - Measurement of skin texture using genetic image analysis

AU - Nishioka, M.

AU - Fukumi, M.

AU - Akamatsu, N.

AU - Mitsukura, Yasue

PY - 2004

Y1 - 2004

N2 - A binarization method of images for presumption of skin age is proposed using the genetic programming (GP) which is the evolutional computing method. Skin age can be estimated by skin texture, but it is difficult to binarize skin images owing to individual differences. Therefore, results obtained by a genetic image processing were achieved with consideration of individual differences, and good results were obtained, the fast fourier transform (FFT) was performed to skin images and the classification experiment was carried out by a neural network (NN) as a comparative experiment. However it is demonstrated that an effective classification result was not obtained by FFT and NN compared to our approach.

AB - A binarization method of images for presumption of skin age is proposed using the genetic programming (GP) which is the evolutional computing method. Skin age can be estimated by skin texture, but it is difficult to binarize skin images owing to individual differences. Therefore, results obtained by a genetic image processing were achieved with consideration of individual differences, and good results were obtained, the fast fourier transform (FFT) was performed to skin images and the classification experiment was carried out by a neural network (NN) as a comparative experiment. However it is demonstrated that an effective classification result was not obtained by FFT and NN compared to our approach.

UR - http://www.scopus.com/inward/record.url?scp=21444436800&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=21444436800&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:21444436800

SN - 0780386396

SP - 787

EP - 791

BT - Proceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004

A2 - Ko, S.J.

ER -