한국멀티미디어학회논문지 (Journal of Korea Multimedia Society)

  • 제21권2호
  • /
  • Pages.117-129
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  • 2018
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  • 1229-7771(pISSN)
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  • 2384-0102(eISSN)
한국멀티미디어학회 (Korea Multimedia Society)
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가버 필터와 밀도 기반 공간 클러스터링을 이용한 피부의 이상 영역 검출

Detection of Abnormal Region of Skin using Gabor Filter and Density-based Spatial Clustering of Applications with Noise

  • Jeon, Minseong (Dept. of Computer Science, Chungbuk National University) ;
  • Cheoi, Kyungjoo (Dept. of Computer Science, Chungbuk National University)
  • 투고 : 2018.01.12
  • 심사 : 2017.01.23
  • 발행 : 2018.02.28
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초록

In this paper, we suggest a new system that detects abnormal region of skim. First, an illumination elimination algorithm which uses LAB color model is processed on input facial image to obtain robust facial image for illumination, and then gabor filter is processed to detect the reactivity of discontinuity. And last, the density-based spatial clustering of applications with noise(DBSCAN) algorithm is processed to classify areas of wrinkles, dots, and other skin diseases. This method allows the user to check the skin condition of the images taken in real life.

키워드

참고문헌

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