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

Jiatuo Xu; Yuefei Guo; Xipeng Qiu

doi:10.1117/12.751028

14 November 2007 Color constancy model based on topology resolve-map in medical image processing

Jiatuo Xu, Yuefei Guo, Xipeng Qiu

Proceedings Volume 6789, MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques; 67891C (2007) https://doi.org/10.1117/12.751028
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

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_ib_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.

Citation Download Citation

Jiatuo Xu, Yuefei Guo, and Xipeng Qiu "Color constancy model based on topology resolve-map in medical image processing", Proc. SPIE 6789, MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 67891C (14 November 2007); https://doi.org/10.1117/12.751028

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