Title :
Facial Complexion Acquisition and Recognition System for Clinical Diagnosis in Traditional Chinese Medicine
Author :
Li Fufeng ; Di Dan ; Qian, Peng ; Wang Yiqin ; Qian Peng ; Zheng Xiaoyan ; Liu Guoping
Author_Institution :
Syndrome Lab. of Tradition Chinese Med., Shanghai Univ. of Traditional Chinese Med., Shanghai, China
Abstract :
This paper introduces a standard acquisition environment and a recognition method for clinical facial complexional diagnosis in traditional Chinese medicine (TCM). Firstly, collected the information of facial complexion in an environment with different artificial light source, the color value of face was extracted and compared with diagnostic conclusion from clinical experts in natural light environment. Experiment results show that the light emitting diode (LED) met the requirement of acquisition environment well. Then, based on the theory of TCM, five-color classification of observational scale in complexion diagnosis was defined, an automatic analysis system was developed for assistant facial complexion-based diagnosis, which standardized the facial complexion-based and avoids depending on the physicianpsilas experience and environment. This study may be helpful in promoting quantitative analysis in TCM.
Keywords :
face recognition; feature extraction; image classification; image colour analysis; light emitting diodes; medical image processing; assistant facial complexion-based diagnosis; automatic analysis system; clinical diagnosis; clinical facial complexional diagnosis; color value extraction; facial complexion acquisition; facial recognition system; five-color classification; light emitting diode; quantitative analysis; traditional Chinese medicine; Application software; Biology computing; Biomedical imaging; Clinical diagnosis; Face recognition; Image processing; Light emitting diodes; Light sources; Medical diagnostic imaging; Thermal pollution; Facial complexion; collecting environment; image processing;
Conference_Titel :
Bioinformatics, Systems Biology and Intelligent Computing, 2009. IJCBS '09. International Joint Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3739-9
DOI :
10.1109/IJCBS.2009.111