An identification model construction method and an intestinal tract disease early warning method based on tongue diagnosis
A technology for identifying models and constructing methods, which is applied in character and pattern recognition, recognition of medical/anatomical patterns, medical automated diagnosis, etc. It can solve problems such as not easy to see 3D images, and achieve the effect of avoiding a large number of misjudgments
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Embodiment 1
[0042] There is also a big difference between humans and machines in the specific implementation of tongue image recognition, because when observed by human eyes, 3D images can be viewed, and the differences between cracks can be seen more clearly , but it is not easy to see the 3D image when it is detected by a computer. If only the algorithm of edge recognition is used to identify the crack on the tongue, since the edge recognition accuracy is higher, the misrecognition rate will be higher. Because the edge recognition algorithm can not only identify the shadow lines generated by cracks, but also identify the shadow lines caused by shadow lines between different colors on the tongue or other situations; edge recognition will uniformly recognize this method as appearing Cracks, which will cause a large deviation in the recognition results.
[0043] Such as figure 1 As shown, this embodiment provides a recognition model construction method, including the following steps:
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Embodiment 2
[0049] Embodiment 2 discloses a computer-readable storage medium, which is used to store a program, and when the program is executed by a processor, the identification model building method of Embodiment 1 is implemented.
Embodiment 3
[0051] Such as figure 2 As shown, the present embodiment provides a method for early warning of gastrointestinal diseases based on tongue diagnosis, comprising the following steps:
[0052] S21: Acquire the current image information, the image information includes the tongue image; here is mainly to obtain the image of the basic judgment, when the user uses the corresponding product of the application, it is necessary to provide the corresponding image first, the image obtained The method can be directly through the camera or directly transmit the picture to the product, so as to complete the transmission of the basic judgment image.
[0053] S22: Extract the tongue image in the current image information; after step S22, a preprocessing step is also included: perform preprocessing on the tongue image in the extracted current image information, the preprocessing includes scaling, rotation and normalization. This step is to extract the image information of the tongue, and then...
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