A Medical Image Color Correction Method Base on Supervised Color Constancy
Objective: To establish an acquisition and analysis method for medical image in the indoor natural light conditions: Method: According to the color character-ristics of the medical image and the constancy of supervised color, we make the color codes which are used for a* b* value correction, and gray codes which are used for L* value correction. Then, we carry on topological subdivision to the one-dimensional L* space and the two-dimensional ab* space respectively. We establish the mapping function Decomposition-Proje-ction-Restoration, and ran the linear mapping to the one-dimensional L* space and triangle mapping to the two-dimensional a*b* space. We correct the 198 color blocks in 22 pictures.Result: Compared with the standard value, △L*,△C*,△E decreased significantly (P＜0.01), images color difference is reduced, color saturation and the value is closer to standard value.Conclusion: TRM(Topology Resolve-Map Model) method can significantly adjust the color error of tongue images under the indoor natural light condition and easy to use,and has a good performance of color correction. It is feasible to apply this method to the color correction of the medical images.
Jiatuo Xu Liping Tu Zhifeng Zhang Xipeng Qiu
Shanghai University of Traditional Chinese Medicine,Sshanghai 201203,China Fudan University,Shanghai 200433,China
国际会议
厦门
英文
673-678
2008-12-12（万方平台首次上网日期，不代表论文的发表时间）