DocumentCode
3051584
Title
Color Active Contour Models Based Tongue Segmentation in Traditional Chinese Medicine
Author
Yu, Shengyang ; Yang, Jie ; Wang, Yonggang ; Zhang, Yan
Author_Institution
Inst. of Image Process. & Pattern Recognition, Shanghai Jiao Tong Univ., Shanghai
fYear
2007
fDate
6-8 July 2007
Firstpage
1065
Lastpage
1068
Abstract
Automated tongue image segmentation in tongue diagnosis system of traditional Chinese medicine is difficult due to two factors: There are lots of pathological details on the surface of tongue, and the shapes of tongue bodies are quite different. By adequately considering color information of tongue images, knowledge-based initial tongue body boundary detection and a color gradient are introduced into the gradient vector flow snake. The roughly detected tongue body boundary is employed to lead the usage of color gradient and the convergence of snake. The experiments results show robustness and accuracy of the algorithm. This work establishes a solid foundation for feature analysis of tongue diagnosis.
Keywords
image segmentation; medical image processing; Chinese medicine; color active contour models; tongue body boundary detection; tongue diagnosis system; tongue image segmentation; Active contours; Biomedical imaging; Convergence; Image segmentation; Medical diagnostic imaging; Pathology; Rough surfaces; Shape; Surface roughness; Tongue;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedical Engineering, 2007. ICBBE 2007. The 1st International Conference on
Conference_Location
Wuhan
Print_ISBN
1-4244-1120-3
Type
conf
DOI
10.1109/ICBBE.2007.275
Filename
4272759
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