Traditional Chinese medicine tongue coating dryness-moistening identification method based on dichotomy light reflection model and random forest

A technology of spectroscopic reflection and random forest, which is applied in character and pattern recognition, medical science, image analysis, etc., can solve the problems of not fully reflecting the characteristics of water bright spot areas and being easily affected by human subjective factors, so as to overcome artificial Influence of subjective factors, satisfaction with the effects of tongue coating moistening and dryness classification

Pending Publication Date: 2022-03-29
SHANGHAI UNIV OF T C M +1
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AI Technical Summary

Problems solved by technology

The extracted features cannot fully reflect the characteristics of the water bright spot area, and the emp

Method used

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  • Traditional Chinese medicine tongue coating dryness-moistening identification method based on dichotomy light reflection model and random forest
  • Traditional Chinese medicine tongue coating dryness-moistening identification method based on dichotomy light reflection model and random forest
  • Traditional Chinese medicine tongue coating dryness-moistening identification method based on dichotomy light reflection model and random forest

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Embodiment

[0042] Example: such as Figure 1-7 As shown, the present invention is based on the dichotomous light reflection model and the Chinese medicine tongue fur identification method of random forest, comprises the following steps,

[0043] Step 1, using the adaptive local maximum brightness threshold method to detect brighter areas;

[0044] Step 2. Analyze the optical difference between the water bright spot area and the brighter natural color area according to the two-spectrum reflection model, and extract the water bright spot area on this basis;

[0045] Step 3, calculating the brightness sum of the water bright spot area, moistening coefficient, area and RGB covariance matrix eigenvalues ​​and other features of the water bright spot area are extracted, and statistical analysis is carried out;

[0046] Step 4. Using the feature set formed by combining the extracted eigenvalues ​​of multiple water bright spot areas, a random forest model for tongue coating moistening and drynes...

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Abstract

The invention discloses a traditional Chinese medicine tongue coating dryness-moistening identification method based on a dichotomy light reflection model and a random forest. The method comprises the following steps: extracting a bright region by adopting a self-adaptive local maximum brightness threshold method; secondly, analyzing the difference between the bright natural color area and the moisture bright spot area by using a dichotomy light reflection model, and extracting the moisture bright spot area according to the difference between the bright natural color area and the moisture bright spot area; then extracting a plurality of features of the moisture bright spot area and fusing the features; and finally, establishing a random forest recognition model of tongue coating dryness moistening by using the fusion features of the moisture bright spot region. According to the method provided by the invention, the defect that the existing method is easily influenced by human subjective factors is overcome, and a satisfactory tongue coating dryness-moistening classification effect is achieved.

Description

technical field [0001] The invention relates to the technical field of classification and recognition of dryness of tongue coating, in particular to a recognition method for moistening and dryness of tongue coating in traditional Chinese medicine based on a bispectral reflection model and a random forest. Background technique [0002] Moisturizing the tongue coating is an important indicator of tongue diagnosis in TCM. The theory of TCM syndrome differentiation believes that the wetness or dryness of the tongue coating reflects the profit and loss and distribution of body fluid, and is an effective diagnostic index for syndrome differentiation of cold and heat. Therefore, in the study of the objectification and modernization of TCM, the computer identification of moistening and dryness of the tongue coating is one of the important research contents. [0003] According to the theory of traditional Chinese medicine, moist fur contains a lot of water, which will form a layer of...

Claims

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Application Information

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IPC IPC(8): G06T7/11G06T7/136G06K9/62A61B5/00G06V10/764G06V10/56G06T7/00G06V10/80
CPCG06T7/11G06T7/136A61B5/4854A61B5/4552A61B5/7264G06T7/0012G06F18/24323G06F18/253
Inventor 郭睿王忆勤颜建军燕海霞曾梦浩许朝霞徐琎郝一鸣
Owner SHANGHAI UNIV OF T C M
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