CIE L*a*b* 칼라 공간의 성분 영상 a*을 이용한 효과적인 여드름 검출 = Effective Acne Detection using Component Image a* of CIE L*a*b* Color Space

다국어 초록 (Multilingual Abstract)

Today, modern people perceive skin care as part of their physical health care, and acne is a common skin disease problem that is found on the face. In this paper, an effective acne detection algorithm using CIE L*a*b* color space has been proposed. It is red when the pixel value of the component image a* is a positive number, so it is suitable for detecting acne in skin image. First, the skin image based on the RGB color space is subjected to light compensation through color balancing, and converted into a CIE L*a*b* color space. The extracted component image a* was normalized, and then the skin and acne area were estimated with the threshold values. Experimental results show that the proposed method detects acne more effectively than the conventional method based on brightness information, and the proposed method is robust against the reflected light source.

참고문헌 (Reference)

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