Journal of IKEEE (전기전자학회논문지)

Institute of Korean Electrical and Electronics Engineers (한국전기전자학회)
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A scheme of extracting age-related wrinkle feature and skin age based on dermoscopic images

피부 현미경 영상을 통한 피부 특징 추출 및 피부 나이 도출 기법

  • Choi, Young-Hwan (School of Electrical, Electronics Engineering, Korea University) ;
  • Hwang, Een-Jun (School of Electrical, Electronics Engineering, Korea University)
  • 최영환 (고려대학교 전기전자전파공학과) ;
  • 황인준 (고려대학교 전기전자전파공학과)
  • Received : 2010.12.03
  • Accepted : 2010.12.29
  • Published : 2010.12.30
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Abstract

Usually, mage feature extraction methods are performed as a pre-processing step in many applications including image retrieval, object recognition, and image indexing. Especially, in the image texture analysis, texture feature extraction methods attempt to increase texture contrast to make it easier to extract the texture features from the image. One of the distinct textures in microscopic skin image is the wrinkle, and its features could provide various useful information for the age-related applications. In this paper, we propose a scheme to extract age-related features from the skin images and improve its accuracy in the skin age estimation.

영상 처리를 통한 특징 추출은 영상 검색, 객체 인식, 영상 인덱싱을 포함하는 다양한 분야에서 전처리 과정으로 사용되어 왔다. 특히, 영상 질감 분석에서는 질감 특성 추출을 더 용이하게 하기 위해 질감의 대비를 증가시키는 방법을 사용한다. 생체 현미경 영상에서 두드러진 질감중의 하나는 주름이며 주름의 특징은 노화 관련 응용에 유용한 정보를 다양하게 제공한다. 본 논문에서는 피부 영상에서 나이 관련 특징을 추출하는 기존 방법을 개선하여 피부 나이 측정의 정확도를 높이는 방법을 제안한다.

Keywords

References

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