Application of PCA and LDA methods on gloss recognition research in TCM complexion inspection

In TCM theory, gloss and moisture are recognized as the Qi; blue, red, yellow, white and black are recognized as the color, the five colors governs blood, the gloss governs sprit and Qi. We may estimate the overabundance or insufficiency of the viscera's essence by observing the changes of face gloss, which is a very important way to judge the condition and extrapolate the prognosis. However, because of lacking of objective data, the traditional way of observing face gloss mainly depends on clinicians' subjective appraises, which becomes one of the most important factors that hamper TCM's development. As a grope and study for the objective TCM, we utilize the computer vision skills and apply the feature extraction methods, like PCA, 2DPCA and (2D)
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PCA, LDA to the face samples under 4 color spaces as facial gloss extraction methods. The result indicates that 4 methods have a positive effect on extracting gloss information, LDA may reach to the rate of 88.69% in the HSV color space. This article attempts to explore informatization intellectualization of TCM, and attains positive experimental results. It provides a new method for the TCM observation of gloss quantification examination.