Share Email Print

Proceedings Paper

Color constancy model based on topology resolve-map in medical image processing
Author(s): Jiatuo Xu; Yuefei Guo; Xipeng Qiu
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper 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):Ni-> Mi, and run the linearity mapping to the one-dimensional L* space F(Xl) and triangulation mapping to the two-dimensional a*b* space F(Xab), respectively, and present corresponding mapping function. Furthermore, we calculate image F(Li)and F(Xaibi), value of inverse image, from Li',ai', bi', 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.

Paper Details

Date Published: 14 November 2007
PDF: 8 pages
Proc. SPIE 6789, MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 67891C (14 November 2007); doi: 10.1117/12.751028
Show Author Affiliations
Jiatuo Xu, Shanghai Univ. of Traditional Chinese Medicine (China)
TsingHua Univ. Beijing (China)
Yuefei Guo, Fudan Univ. (China)
Xipeng Qiu, Fudan Univ. (China)

Published in SPIE Proceedings Vol. 6789:
MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques
Jianguo Liu; Kunio Doi; Patrick S. P. Wang; Qiang Li, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?