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肤色图像的独立成分分析

Independent-component analysis of skin color image.

作者信息

Tsumura N, Haneishi H, Miyake Y

机构信息

Department of Information and Image Sciences, Chiba University, Japan.

出版信息

J Opt Soc Am A Opt Image Sci Vis. 1999 Sep;16(9):2169-76. doi: 10.1364/josaa.16.002169.

Abstract

The spatial distributions of melanin and hemoglobin in human skin are separated by independent-component analysis of a skin color image. The analysis is based on the skin color model with three assumptions: (1) Spatial variation of color in the skin is caused by two pigments, melanin and hemoglobin; (2) the quantities of the two pigments are mutually independent spatially; and (3) linearity holds among the quantities and the observed color signals in the optical density domain. The results of the separation agree well with physiological knowledge. The separated components are synthesized to simulate the various facial color images by changing the quantities of the two separated pigments.

摘要

通过对皮肤颜色图像进行独立成分分析,分离出人类皮肤中黑色素和血红蛋白的空间分布。该分析基于具有三个假设的皮肤颜色模型:(1)皮肤颜色的空间变化由黑色素和血红蛋白这两种色素引起;(2)这两种色素的量在空间上相互独立;(3)在光密度域中,量与观测到的颜色信号之间呈线性关系。分离结果与生理学知识高度吻合。通过改变两种分离色素的量,将分离出的成分进行合成,以模拟各种面部颜色图像。

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