DocumentCode :
3339911
Title :
Recognize and analysis the healthy person´s facial color diagnosis
Author :
Zhang, Zhifeng ; Xu, Jiatuo ; Li, Ming ; Lu, Jingbo ; Mao, Hongchao ; Shi, Meiyu ; Tu, Liping ; Zhu, Fenglan
Author_Institution :
Shanghai Univ. of Traditional Chinese Med., Shanghai, China
Volume :
1
fYear :
2009
fDate :
14-16 Aug. 2009
Firstpage :
66
Lastpage :
69
Abstract :
We fetch facial digital vision information from 98 healthy persons using digital camera. With functional help of NIKON CAPTURE NX´s software point U key technology, we catch black, white and neutral color control points. We correct the color differences of facial digital vision with self-improved facial functional software. According to the principle of Adaboost objective category, we improve the software. Under Traditional Chinese Medicine (TCM), facial information was cut into 5 divisions which are forehead, nose, left malar, right malar and chin. We do the CIE1976L*a*b* color quantity analysis using after we take 8 color pieces with size 5*5 from each part. The experiment result shows that there are differences of value of L*, a* and b* from different part of healthy persons face. That means there are color differences from different part of face. With the figures of L*, a* and b* from different face part, it generally follows the TCM clinic fact. This task technologically found the patients facial inspection in future.
Keywords :
biology computing; face recognition; patient diagnosis; Adaboost objective category; CIE1976L*a*b* color quantity analysis; NIKON CAPTURE NX software point U key technology; chin; color differences; digital camera; facial information; fetch facial digital vision information; forehead; healthy person face; healthy person facial color diagnosis; left malar; neutral color control points; nose; patient facial inspection; right malar; self-improved facial functional software; traditional chinese medicine; Biomedical imaging; Digital cameras; Face recognition; Forehead; Image color analysis; Information analysis; Inspection; Medical diagnostic imaging; Nose; Software quality;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
IT in Medicine & Education, 2009. ITIME '09. IEEE International Symposium on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-3928-7
Electronic_ISBN :
978-1-4244-3930-0
Type :
conf
DOI :
10.1109/ITIME.2009.5236459
Filename :
5236459
Link To Document :
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