Tongue division and extracting method for tongue diagnosis used colored digital photo of tongue in Chinese traditional medicine

Abstract

The invention relates to a tongue color image processing technique used to diagnose tongue, wherein the invention is characterized in that: it uses two steps to extract the tongue, that first obtaining the rough profile of tongue, then using two-dimension deformation profile model to accurately cut the image; in the first step, using divide transformation to process the red channel of image, to obtain rouge tongue profile; when processing, first using saturated threshold value to obtain the mark image, and using mark image to minimize the ladder image, to obtain the image need cutting; then using divide transformation method to treat the cut image on the sample-point-gray value curvature of longitudinal section; division transforming to obtain one group formed by the divisions of each longitudinal section; one connecting area of divisions is the tongue area, while its boundary is the tongue rough profile. The experiment has proved that the image result is accurate to apply different people.

Description

technical field [0001] The invention belongs to the technical field of tongue color image processing for tongue diagnosis in traditional Chinese medicine. Background technique [0002] Since the mid-to-late 1980s, Chinese medicine practitioners and digital imaging practitioners began to combine to try to conduct objective research on tongue diagnosis based on computer technology. The research mainly focuses on the color calibration, storage and output of tongue photos, and the processing of tongue photos with modern image processing and analysis techniques. Among them, the prerequisite for analyzing various parameters of the tongue with image processing technology is to extract the tongue body area from the image of the face and tongue, and remove other parts. Aiming at this topic, many methods have been used for research. [0003] The shortcomings of the segmentation extraction algorithm used before are mainly: [0004] 1) The early segmentation algorithm used simple thr...

AI Technical Summary

Problems solved by technology

However, some of the initial curve acquisition methods of this method are manually drawn by the human body, and cannot be fully automated;

[0006] 3) In view of the fact that the tongue photos of each person are different, the color and shape are not the same, and the various methods of segmentation cannot be applied to the tongues of different people

[0007] 4) For the time being, no application program has been developed with the algorithm for direct clinical use

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