DocumentCode :
3410453
Title :
An automatic tongue detection and segmentation framework for computer-aided tongue image analysis
Author :
Wentao Xu ; Kanawong, R. ; Dong Xu ; Shao Li ; Tao Ma ; Guixu Zhang ; Ye Duan
Author_Institution :
Comput. Sci. Dept., Univ. of Missouri-Columbia, Columbia, MO, USA
fYear :
2011
fDate :
13-15 June 2011
Firstpage :
189
Lastpage :
192
Abstract :
Traditional Chinese Medicine (TCM) has a long history and has been recognized as a popular alternative medicine in western countries. Tongue diagnosis is a significant procedure in computer-aided TCM, where tongue image analysis plays a dominant role. In this paper, we proposed a fully automatic tongue detection and tongue segmentation framework, which is an essential step in computer-aided tongue image analysis. Comparing with other existing methods, our method is fully automatic without any need of adjusting parameters for different images and do not need any initialization.
Keywords :
image segmentation; medical image processing; object detection; patient diagnosis; automatic tongue detection; automatic tongue segmentation; computer aided TCM; computer aided tongue image analysis; tongue diagnosis; traditional Chinese medicine; western countries; Image edge detection; Image segmentation; Tongue; TCM; Tongue analysis; computer-aide diagnosis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
e-Health Networking Applications and Services (Healthcom), 2011 13th IEEE International Conference on
Conference_Location :
Columbia, MO
Print_ISBN :
978-1-61284-695-8
Electronic_ISBN :
978-1-61284-696-5
Type :
conf
DOI :
10.1109/HEALTH.2011.6026741
Filename :
6026741
Link To Document :
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