Chinese medicine complexion recognition method based on color modeling

Abstract

A Chinese medicine complexion recognition method based on color modeling comprises the following steps: first collecting multiple pieces of human face images, then dividing each human face image into multiple skin blocks in a m*n size, forming a dataset by the skin blocks (all in four classes), dividing each dataset into a training sample set and a classic sample set, calculating the color feature vector of each skin block in the training sample set and the classic sample set, and respectively calculating the class center and the biggest radius of four classes of samples in each classic sample set; and through carrying out modeling on the modeling feature vectors nu of all classes of classic complexions, calculating the maximum value of the comprehensive deformation degree alpha of all classes of classic sample models and the maximum value of the similarity degree beta of the models, calculating the relative distance between each training sample and each class center in each classic sample set, calculating the class attribution factor lambda_s of each sample in each training sample set, calculating the fuzzy affiliation degree of each sample in each training sample set with the corresponding affiliated class, training a fuzzy support vector machine, and utilizing the well trained fuzzy support vector machine to carry out Chinese medicine complexion recognition.

Description

technical field [0001] The invention belongs to the field of medical image processing, which combines computer technology, image processing technology, pattern recognition and other technologies to realize the automatic extraction of complexion features in traditional Chinese medicine and provide the recognition result of facial complexion. This process automatically analyzes the input human face image, uses the fuzzy support vector machine to recognize the complexion, and finally judges the facial complexion of the input image. Background technique [0002] Traditional Chinese medicine believes that the human body is an organic whole, and the face is like a mirror reflecting the physiology and pathology of the human body. Looking at the changes in the facial features can directly diagnose the diseases of the viscera. According to the theory of traditional Chinese medicine, there are several classifications of human face complexion: blue, red, yellow, white, black and normal...

AI Technical Summary

Problems solved by technology

[0004] The present invention aims to solve the problem of interference of non-objective factors in the process of diagnosis and treatment of traditional Chinese medicine, and solve the problem of ambiguity existing in face-to-face diagnosis of traditional Chinese medicine. Calculation method of fuzzy membership degree based on color modeling, providing quantitative basis for complexion recognition in traditional Chinese medicine

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