Proceedings of the KOSOMBE Conference (대한의용생체공학회:학술대회논문집)

The Korean Society of Medical and Biological Engineering (대한의용생체공학회)
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Development of Adaptive Endoscope Image Enhancer Using Histogram

Histogram을 이용한 적응형 내시경 Image Enhancer의 개발

  • Lee, S.H. (Department of Electrical Engineering, Yonsei University) ;
  • Kim, J.H. (Department of Electrical Engineering, Yonsei University) ;
  • Song, C.G. (Biomedical Engineering Center, SAMSUNG Medical Center) ;
  • Lee, Y.M. (Biomedical Engineering Center, SAMSUNG Medical Center) ;
  • Kim, W.K. (Biomedical Engineering Center, SAMSUNG Medical Center) ;
  • Lee, M.H. (Department of Electrical Engineering, Yonsei University)
  • 이상학 (연세대학교 공과대학 전기공학과) ;
  • 김정훈 (연세대학교 공과대학 전기공학과) ;
  • 송철규 (삼성생명과학연구소 임상의공학센터) ;
  • 이영묵 (삼성생명과학연구소 임상의공학센터) ;
  • 김원기 (삼성생명과학연구소 임상의공학센터) ;
  • 이명호 (연세대학교 공과대학 전기공학과)
  • Published : 1997.05.23
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Abstract

Endoscope image is the shape that a doctor sees inside of patient through endoscope. The characteristics of these images are much effected by the light source of endoscope, specially areas in short distance from a light have much light source and look clear, but areas in long distance from a light look dark relatively because of little light quantity. So we developed a new level adaptive image enhancer for the dark area in a endoscope image. The algorithm we made consists of three parts ; 1) Classification of histogram in segmented area 2) Smoothing and Adaptive Histogram Equalization 3) Adaptive Histogram Modification.

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