Tongue fur texture identification method based on Gabor wavelet transformation

A technology of wavelet transform and recognition method, which is applied in the field of tongue coating texture recognition based on Gabor wavelet transform, can solve the problem of losing the overall information of the tongue image, and achieve the effect of improving recognition accuracy and accurate texture features

Inactive Publication Date: 2017-05-17
SHANGHAI UNIV OF T C M
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Problems solved by technology

[0007] The above methods divide the tongue image into multiple small bl

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  • Tongue fur texture identification method based on Gabor wavelet transformation
  • Tongue fur texture identification method based on Gabor wavelet transformation
  • Tongue fur texture identification method based on Gabor wavelet transformation

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Embodiment Construction

[0027] The technical solutions of the present invention will be described below in combination with specific embodiments and accompanying drawings.

[0028] Aiming at the problem that the current tongue image is divided into multiple small pieces for analysis and the overall information of the tongue image will be lost, the present invention proposes a tongue coating texture recognition method based on Gabor wavelet transform to analyze the overall tongue image. There are edge effects of the Gabor wavelet transform in the analysis process, so the method proposed by the present invention pays special attention to removing the edge effects.

[0029] The present invention uses Gabor wavelet to transform the overall tongue image, expands and fills the edge of the original overall tongue image, then removes the edge effect of Gabor wavelet transform, and then extracts the mean value and standard deviation of the tongue image after removing the edge effect as features, using The ope...

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Abstract

The invention relates to a method for identifying greasiness of the tongue fur and belongs to the field of tongue fur data processing. A tongue fur texture identification method based on Gabor wavelet transformation is characterized by comprising following steps of carrying out dilation operation on an acquired whole tongue image, and carrying out edge expansion through extraction and assignment of edge points so as to obtain a tongue body expansion image subjected to the boundary filling; establishing a Gabor wavelet family, and carrying out Gabor wavelet transformation on the whole tongue body subjected to the image expansion; multiplying the tongue image subjected to the Gabor wavelet transformation with the binary image of the tongue body of the original whole tongue image so as to obtain a Gabor wavelet transformation tongue image whose edge effects have been removed; extracting a mean value and a standard difference from the Gabor wavelet transformation tongue image whose edge effects have been removed and using the mean value and the standard difference as features so as to carry out classification identification on the tongue fur textures. According to the invention, in the obtained whole tongue image, the texture features of the tongue fur are quite precise, so the identification accuracy rate is improved and beneficial reference is provided for objective diagnosis in the traditional Chinese medicine.

Description

technical field [0001] The invention relates to a method for identifying greasy tongue coating, in particular to a method for identifying tongue coating texture based on Gabor wavelet transform. Background technique [0002] Tongue examination is a diagnostic method to understand the body's physiological functions and pathological changes by observing the changes in tongue quality and coating. It is an important content of inspection and one of the characteristics of traditional Chinese medicine diagnosis. Tongue diagnosis in traditional Chinese medicine is mainly based on visual observation and empirical analysis by doctors. The diagnosis results are not only limited by the doctor's knowledge level, thinking ability and diagnostic skills, but also affected by external objective conditions such as light and temperature. There is no constant objective evaluation standard. , which affects its promotion and inheritance, and is not conducive to scientific research, teaching and ...

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/10G06F18/21347
Inventor 王忆勤夏春明瞿婷婷郭睿郝一鸣朱穆朗玛谢艳虹燕海霞
Owner SHANGHAI UNIV OF T C M
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