Tongue coating and tongue proper color extracting and classifying method based on pixel

A classification method and color technology, applied in the field of analysis, can solve the problems of staying and low accuracy, and achieve the effect of reducing subjective factors and realizing quantification

Inactive Publication Date: 2007-03-21
HARBIN INST OF TECH
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AI Technical Summary

Problems solved by technology

However, at present, the analysis and discrimination of tongue coating and tongue color are still at the level of artificial experience. The accuracy of judgment is low, with greater randomness and uncertainty

Method used

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  • Tongue coating and tongue proper color extracting and classifying method based on pixel
  • Tongue coating and tongue proper color extracting and classifying method based on pixel
  • Tongue coating and tongue proper color extracting and classifying method based on pixel

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Embodiment Construction

[0038] Principle of the present invention and process are further described below in conjunction with accompanying drawing:

[0039] 1. Color model training

[0040] 1.1. Fuzzy C-means clustering (FCM) for tongue color

[0041] The fuzzy C-means algorithm (FCM) is an improvement to the ordinary C-means algorithm. It uses the degree of membership to determine the degree to which each sample belongs to a certain category, and minimizes the FCM objective function through repeated iterations, so that the similarity between objects classified into the same category is the largest, while the similarity between different categories is the smallest.

[0042] 1.2. Tongue color calibration based on expert knowledge

[0043] In combination with Figures 1-5, the present invention selects 14 typical tongue samples of fur color, quality and color from the tongue image database of the Harbin Institute of Technology Research Center for Bioinformatics, and selects 20-50 samples for each colo...

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Abstract

The present invention provides one kind of tongue coating and tongue proper color extracting and classifying method based on pixel, and the method has high accuracy and wide application value. The method includes the first selecting typical tongue picture samples from tongue picture database, performing color clustering on each of the tongue picture samples in FCM algorithm, calibrating the color centers of the results and superposing the calibrated clustering color values of all the color sorts; the subsequent purifying treatment of each color sample set and screening samples to obtain color sample set; and final classifying and analyzing the tongue coating color and tongue proper color on each of the tongue picture with the improved KNN classifier. The present invention realizes the quantitative, objective and standardized analysis on tongue coating and tongue proper color and automatic computerized classification of 14 kinds of tongue coating and tongue proper colors.

Description

(1) Technical field [0001] The invention relates to an analysis method, in particular to a pixel-based method for extracting and classifying the color of the tongue coating and the quality of the tongue. (2) Background technology [0002] The characteristics of tongue image have high application value in the process of diagnosing diseases in traditional Chinese medicine, especially the color of tongue coating and tongue quality is the most important information in tongue diagnosis in traditional Chinese medicine. However, at present, the analysis and discrimination of tongue coating and tongue color are still at the level of artificial experience. The accuracy of judgment is low, and it has greater randomness and uncertainty. (3) Contents of the invention [0003] The purpose of the present invention is to provide a pixel-based method for extracting and classifying tongue coating and tongue color, which is scientifically rigorous, high in accuracy, and has wide applicatio...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/00A61B19/00G06Q50/00G06F17/00
Inventor 张大鹏李乃民王宽全黄勃张宏志
Owner HARBIN INST OF TECH
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