The Transactions of the Korean Institute of Electrical Engineers D (대한전기학회논문지:시스템및제어부문D)

The Korean Institute of Electrical Engineers (대한전기학회)
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Color Segmentation robust to Illumination Variations based on Statistical Methods of Hue and Saturation including Brightness

밝기 변화를 고려한 색상과 채도의 확률 모델에 기반한 조명변화에 간인한 컬러분할

  • 김치호 (연세대학교 전기전자공학과) ;
  • 유범재 (한국과학기술연구원 지능로봇연구센터) ;
  • 김학배 (연세대학교 전기전자공학과)
  • Published : 2005.10.01
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Abstract

Color segmentation takes great attentions since a color is an effective and robust visual cue for characterizing one object from other objects. Color segmentation is, however, suffered from color variation induced from irregular illumination changes. This paper proposes a reliable color modeling approach in HSI (Hue-Saturation-Intensity) rotor space considering intensity information by adopting B-spline curve fitting to make a mathematical model for statistical characteristics of a color with respect to brightness. It is based on the fact that color distribution of a single-colored object is not invariant with respect to brightness variations even in HS (Hue-Saturation) plane. The proposed approach is applied for the segmentation of human skin areas successfully under various illumination conditions.

Keywords

References

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