Color constancy model based on topology resolve-map in medical image processing

作者：Jiatuo Xu, Yuefei Guo, Xipeng Qiu, Liping Tu, Hongchao Mao, Yuchang Lu · 发表于：Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 年份：2007 · DOI：10.1117/12.751028 · 被引用次数：3 · 研究领域：Color Science and Applications、Image Retrieval and Classification Techniques

In this paper, a Topology Resolve-Map (TRM) model is proposed to restore the gathered colors to standard values. We select relevant color range in L*a*b* color space of human skin and mucosa. Then we choose standard color in SG color chart, separately carry on topological cutting to the one-dimensional L* space and the two-dimensional a*b* space. Standard color in SG color chart is taken as image domain Mi, chromaticity value of SG color chart captured under different condition as inverseimage domain Ni . We establish mapping function from Ni to the Mi F(X):N i -> M i , and run the linearity mapping to the one-dimensional L* space F(X l ) and triangulation mapping to the two-dimensional a*b* space F(Xab), respectively, and present corresponding mapping function. Furthermore, we calculate image F(L i )and F(Xa i b i ), value of inverse image, from L i ',a i ', b i ', values of sample under various kinds of conditions, with F(Xl)and F(Xab), respectively. We use 13 skin colors in SG color codes, and restore these colors from the gathered images to standard values. The differences of ΔL, Δab and ΔE have obvious decrease in TRM model. The mean difference of whole color is 3.77. The experimental results show that TRM model has good accuracy and stability, and outperform significantly the professional software.