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http://dx.doi.org/10.5392/JKCA.2011.11.12.522

Extraction Method of Geometry Information for Effective Analysis in Tongue Diagnosis  

Eun, Sung-Jong (경원대학교 전자계산학과)
Kim, Jae-Seung (경원대학교 전자계산학과)
Kim, Keun-Ho (한국한의학연구원 체질생물학의공학연구센터)
WhangBo, Taeg-Keun (경원대학교 인터랙티브미디어학과)
Publication Information
The Journal of the Korea Contents Association / v.11, no.12, 2011 , pp. 522-532 More about this Journal
Abstract
In Oriental medicine, the status of a tongue is the important indicator to diagnose the condition of internal organs in a body. A tongue diagnosis is not only convenient but also non-invasive, and therefore widely used in Oriental medicine. But tongue diagnosis has some problems that should be objective and standardized, it also exhaust the diagnosis tool that can help for oriental medicine doctor's decision-making. In this paper, to solve the this problem we propose a method that calculates the tongue geometry information for effective tongue diagnosis analysis. Our method is to extract the tongue region for using improved snake algorithm, and calculates the geometry information by using convex hull and In-painting. In experiment, our method has stable performance as 7.2% by tooth plate and 8.5% by crack in region difference ratio.
Keywords
Tongue Diagnosis System; Geometry Information; Tongue Extraction; Tooth Plate; Crack;
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1 C. Rother, V. Kolmogorov, and A. Blake, "GrabCut: interactive foreground extraction using iterated graph cuts," ACM Trans. Graphics, Vol.23, No.3, pp.309-314, 2004.   DOI   ScienceOn
2 M. Kass, "Andrew Witkin, Demetri Terzopoulos Active Contour Models," International Journal of Computer Vision, Vol.1, pp.321-331, 1988   DOI
3 Eddie Y.-K. NG, Y. Chen, Segmentation of Breast Thermogram: "Improved Boundary Detection with Modified snake Algorithm," Journal of Mechanics in Medicine and Biology, Vol.6, No.2, pp.123-136, 2006.   DOI   ScienceOn
4 D. J. Kang, In So Kweon, "A fast and stable snake algorithm for medical images," Pattern Recognition Letters, Vol.20, Issue10, p.1069, 1999.   DOI   ScienceOn
5 S. M. Pizer, R. E. Johnston, J. P. Ericksen, B. C. Yankaskas, and K. E. Muller, "Contrast-limited adaptive histogram equalization: speed and effectiveness," Visualization in Biomedical Computing, pp.337-345, 1990.
6 P. S. Heckbert, Graphics Gems IV, Academic Press Professional Inc., pp.474-485, 1994.
7 N. Otsu, "A Thresholding Selection Method from Gray-scale Histogram," In IEEE Transactions on System, Man, and Cybernetics, Vol.9, No.1, pp.62-66, 1979.   DOI   ScienceOn
8 D. Williams and M. Shah, "A fast algorithm for active contours and curvature estimation, Computer Vision, Graphics," and Image Processing: Image Understanding, Vol.55, pp.14-25, 1992.   DOI
9 T. M. Murphy, M. Math, Leif H. Finkel, "Curvature Covariation as a Factor in Perceptual Salience," International IEEE EMBS CNECI, pp.16-19, 2003.
10 Longin Jan Latecki and Rolf Lakamper, "Convexity Rule for Shape Decomposition Based on Discrete Contour Evolution," Computer Vision and Image Understanding, Vol.73, No.3, pp.441-454, 1999.   DOI   ScienceOn
11 M. Elad a, J.-L. Starck b, P. Querreb, and D. L. Donoho, "Simultaneous cartoon and texture image inpainting using morphological component analysis (MCA)," Appl. Comput. Harmon. Anal, Vol.19, pp.340-358, 2005.   DOI   ScienceOn
12 C. C. Chiu, "A novel approach based on computerized image analysis for traditional Chinese medical diagnosis of the tongue," Computer Methods and Programs in Biomedicine, Vol.61, pp.77-89, 2000.   DOI   ScienceOn
13 W. Li, C. Zhou, and Z. Zhang, "The segmentation of the body of tongue based on the improved snake algorithm in traditional Chinese medicine," in Proc. the 5th world congress on intelligent control and automation, pp.15-19, 2004.
14 R. Zabih and V. Kolmogorov, "Spatially coherent clustering using graph cuts," in Proc. Computer Vision and Pattern Recognition, Vol.2, pp.437-444, 2004.