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Effective Acne Detection using Component Image a* of CIE L*a*b* Color Space

CIE L*a*b* 칼라 공간의 성분 영상 a*을 이용한 효과적인 여드름 검출
Authors: Ki-Hong Park; Hui-Seong Noh;

Effective Acne Detection using Component Image a* of CIE L*a*b* Color Space

Abstract

오늘날 현대인들은 피부 관리를 신체적 건강관리의 일환으로 인식하고 있으며, 일반적으로 얼굴에서 발견되는 피부 질환 문제는 여드름이다. 본 논문에서는 CIE L*a*b* 칼라 공간을 이용한 효과적인 여드름 검출 알고리즘을 제안하였다. 성분 영상 a*의 값이 양수일 경우에 적색이므로 피부 영상에서 적색 계통의 여드름 검출에 적합하다. 먼저 RGB 칼라 공간 기반의 피부 영상은 칼라밸런싱을 통해 광 보상을 수행하고, CIE L*a*b* 칼라 공간으로 변환한다. 추출된 성분 영상 a*을 정규화하고, 임계값 처리를 통해 피부 영역과 여드름 영역을 추정하였다. 실험 결과, 제안하는 방법이 기존의 밝기 정보를 이용한 방법보다 효과적으로 여드름을 검출하였고, 반사되는 광원에 강인함을 보였다.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Average
Top 10%
Top 10%
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