RGB 칼라 모델의 R 성분영상을 이용한 효과적인 색소침착 검출

다국어 초록 (Multilingual Abstract)

In this paper, we propose a method of pigmentation detection using a component image R of RGB color model. Pigmentation is determined by the amount of melanin, and the wavelength range of melanin in the skin image is 620 to 720 nm. The wavelength range of melanin is almost equal to the wavelength of R which is determined the ratio between primary colors in the CIE RGB color space. Therefore, melanin estimation using a component image R of the RGB color model is effective. First, a component image R was normalized using the geometric mean, and melamine candidate image was obtained. Then, the pigmentation regions were detected through threshold processing. Some experimental results show that the proposed method is effective than the conventional methods using the L*-b* plane of the CIE L*a*b* color model. In the future, we will continue to research the method of pigmentation detection in various color models, and improve the accuracy of pigmentation detection in various illumination environments.

참고문헌 (Reference)

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