DocumentCode :
3267995
Title :
The separation framework of tongue coating and proper in Traditional Chinese Medicine
Author :
Li, WenShu ; Hu, Shenning ; Yao, Jianfu ; Song, Hong
Author_Institution :
Coll. of Inf. & Electron., Zhejiang Sci-Tech Univ. Hangzhou, Hangzhou, China
fYear :
2009
fDate :
8-10 Dec. 2009
Firstpage :
1
Lastpage :
4
Abstract :
Tongue diagnosis is a method to analyze disease by observing tongue, which composed of observing tongue proper and tongue coating. The separation of tongue coating and tongue proper is a premise to establish a system of automatic diagnosis by the feature of tongue image in traditional Chinese medicine, whose qualities affect on the performance of tongue diagnosis. In this paper, we present a novel separation framework of tongue coating and tongue proper: an automatic initialization of contour curve by the feature of tongue in HSV color space. Meanwhile, an improved level set algorithm is designed to assist the separation of tongue coating and tongue proper, in which we explicitly define an external energy that can move the zero level curve toward the object boundaries. Applying our method to the large database of tongue images, we achieve promising experimental results.
Keywords :
biological organs; diseases; feature extraction; image colour analysis; image segmentation; medical image processing; patient diagnosis; HSV color space; contour curve; disease; image segmentation; separation framework; tongue coating; tongue diagnosis; tongue image feature; tongue proper; traditional chinese medicine; Active contours; Algorithm design and analysis; Biomedical imaging; Coatings; Image color analysis; Image edge detection; Image segmentation; Level set; Medical diagnostic imaging; Tongue; HSV; Level set; TCM; Tongue;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information, Communications and Signal Processing, 2009. ICICS 2009. 7th International Conference on
Conference_Location :
Macau
Print_ISBN :
978-1-4244-4656-8
Electronic_ISBN :
978-1-4244-4657-5
Type :
conf
DOI :
10.1109/ICICS.2009.5397473
Filename :
5397473
Link To Document :
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