DocumentCode :
1852471
Title :
Cheek region extraction method for face diagnosis of Traditional Chinese Medicine
Author :
Yuncong Yang ; Jing Zhang ; Li Zhuo ; Yiheng Cai ; Xinfeng Zhang
Author_Institution :
Signal & Inf. Process. Lab., Beijing Univ. of Technol., Beijing, China
Volume :
3
fYear :
2012
fDate :
21-25 Oct. 2012
Firstpage :
1663
Lastpage :
1667
Abstract :
Face diagnosis is one of the four diagnostic methods of Traditional Chinese Medicine (TCM). The morbidity of the organs can be revealed from the face color. The cheeks contain abundant capillaries and have less interference with the noise, such as hair and beard, so they are considered as the important region to reflect the face color. A cheek region extraction method for face diagnosis of TCM is proposed in this paper. First, the face region is extracted from the original image which is captured by the tongue image analysis instrument for TCM. Then the face region image is rotated according to the eye positions to put straight the image. The lip chrome region is extracted using Fisher classifier, in which the lip chrome region will be binarized to position the mouth corner. Finally, based on the geometric structure of the face, the skin block center is determined to extract the cheek region automatically. The experimental result shows that the proposed method can achieve higher segmentation accuracy.
Keywords :
face recognition; image segmentation; medical image processing; Fisher classifier; cheek region extraction method; face color; face diagnosis; face region extraction; face region image; four diagnostic methods; geometric face structure; lip chrome region; morbidity; mouth corner; skin block center; tongue image analysis instrument; traditional Chinese medicine; cheek region extraction; face diagnosis of TCM; lip chrome region extraction; mouth corner location;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing (ICSP), 2012 IEEE 11th International Conference on
Conference_Location :
Beijing
ISSN :
2164-5221
Print_ISBN :
978-1-4673-2196-9
Type :
conf
DOI :
10.1109/ICoSP.2012.6491900
Filename :
6491900
Link To Document :
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