Tongue body and tongue coating image recognition and separation method

Abstract

The invention discloses a tongue body and tongue coating image recognition and separation method. The method comprises the following steps: step 1, collecting a tongue image; 2, performing color correction in different modes on the obtained tongue image pictures according to different acquisition devices so as to improve the accuracy of a subsequent image processing algorithm; step 3, positioning a tongue body region in the tongue image picture, including cutting the tongue image picture into sub-image blocks at will, training the sub-image blocks by using a trained convolutional neural network, and positioning the tongue body according to the left and right eye positions, the nose tip position and the left and right mouth corner positions of the human face to obtain a complete rectangular image containing the tongue body; step 4, realizing segmentation of the tongue body and the non-tongue body; and 5, according to different colors of the tongue coating and the tongue body, performing coating separation on the segmented tongue image. The method has the beneficial effects that color correction is carried out on the collected tongue body image, the influence of color cast on subsequent tongue body feature analysis is improved, and accurate separation of the tongue body and the moss is realized.

Description

technical field [0001] The invention relates to the technical field of tongue image processing in traditional Chinese medicine, in particular to a tongue body and tongue coating image recognition and separation method. Background technique [0002] As a characteristic diagnosis method of Chinese medicine, tongue diagnosis has a relatively complete theoretical basis. It reveals the objective phenomena of human physiology and pathology through appearances, and is widely accepted and recognized by people. Tongue diagnosis, as an effective characteristic diagnosis method of traditional Chinese medicine, still plays an important role in today's clinical practice. So far, tongue diagnosis is still one of the clear, easy-to-use and effective diagnostic methods for syndrome diagnosis. It plays an important role in the understanding of diseases, the guidance of medication, and the evaluation of curative effects. With the development of computer technology, people began to use deep l...

AI Technical Summary

Problems solved by technology

However, in the process of collecting tongue images with photographic equipment, due to factors such as different accuracy of the acquisition equipment and different ambient light, it is very easy to cause a certain color cast in the collected tongue images.

This will not only affect the subsequent tongue positioning and segmentation, color feature extraction and analysis of the algorithm, but also cause some interference to the diagnosis of users and clinicians

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