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Computerized disease sign analysis system based on tongue picture characteristics

An analysis system and computer technology, applied in the field of processing, can solve problems such as low accuracy, large randomness and uncertainty, and stay

Inactive Publication Date: 2008-09-17
HARBIN INST OF TECH
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  • Summary
  • Abstract
  • Description
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  • Application Information

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Problems solved by technology

However, the current analysis and discrimination of tongue images are still at the level of manual processing based on experience.
This not only limits the application of tongue image, a useful human physiological feature, in judging human diseases and other fields, but also the accuracy rate of current manual analysis and judgment is low, and it has great randomness and uncertainty.

Method used

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  • Computerized disease sign analysis system based on tongue picture characteristics
  • Computerized disease sign analysis system based on tongue picture characteristics
  • Computerized disease sign analysis system based on tongue picture characteristics

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Embodiment Construction

[0056] The following examples describe the present invention in more detail:

[0057] 1. Color feature extraction

[0058] Color is the most important information in TCM tongue diagnosis. The present invention uses the fuzzy C-means algorithm to cluster TCM tongue images at the pixel level, and combines the manual calibration of color categories by TCM experts to minimize the time spent on sample screening. It realizes the quantification, objectification and standardization of the color quality and color of moss in traditional Chinese medicine. In addition, the present invention also applies the KNN algorithm to the classification technology of moss color, quality and color in traditional Chinese medicine, and realizes computer automatic classification of up to 14 kinds of moss color, quality and color.

[0059] The contribution of the present invention lies in creating a pixel-based tongue color classification system structure; proposing a semi-supervised learning type "seco...

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Abstract

The present invention provides one kind of computerized disease sign analysis system based on tongue picture characteristics. The computerized disease sign analysis system completes: extracting and analyzing color characteristics; extracting and analyzing grain characteristics; extracting and analyzing tongue shape characteristics; extracting and analyzing tongue petechia characteristics; extracting and analyzing tongue moistness and dryness characteristics; etc. The present invention features that syndrome complex and diseases are analyzed based on different syndrome complex and disease characteristics and according to different diagnosis models, and the experiments are completed in relatively great sample set, so as to obtain satisfactory diagnosis result. The present invention is used in the quantification, standardization and automation of Chinese medicine diagnosis.

Description

(1) Technical field [0001] The invention relates to a processing method, in particular to a method for analyzing and processing tongue image features. (2) Background technology [0002] Tongue features have high application value in the process of diagnosing diseases in traditional Chinese medicine. But at present, the analysis and discrimination of tongue images still remain at the level of manual processing based on experience. This not only limits the application of tongue image, a useful human physiological feature, in judging human diseases and other fields, but also the accuracy rate of current manual analysis and judgment is low, with great randomness and uncertainty. (3) Contents of the invention [0003] The purpose of the present invention is to provide a computer analysis system for disease and syndrome based on tongue image characteristics, which is scientifically rigorous, high in accuracy and has wide application value. [0004] The purpose of the present i...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/00A61B19/00G06Q50/00G06F17/00G06F19/00
Inventor 张大鹏李乃民王宽全张宏志黄勃
Owner HARBIN INST OF TECH
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