Recognize and analysis the healthy person's facial color diagnosis

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.