An intelligent tongue segmentation method based on depth learning

Abstract

An intelligent tongue segmentation method based on depth learning relates to image processing. According to the method, tongue image acquisition standards are formulated, and tongue image data are collected in standard environment, wherein the acquisition standards include equipment aspect, light aspect, position aspect and patient requirement aspect, etc.; the tongue image data is segmented artificially, and the data set is divided into a training set and a test set to verify the effectiveness of the algorithm; a tongue Body Segmentation Network TS-NET encoder acquires the low-level featuresof tongue image and locates the pixels, the Tongue Body Segmentation Network TS-NET decoder fuses the high-level and low-level features and classifies the pixels to obtain the complete tongue region.

Description

technical field [0001] The present invention relates to image processing, in particular to an intelligent tongue segmentation method based on deep learning that realizes the intelligent tongue segmentation method from collection to segmentation by using image segmentation and deep learning technology and adopting deep semantic segmentation network. Background technique [0002] Image segmentation (Image Segmentation) is the process of dividing pixels with similar attributes in the image into different regions by giving certain segmentation criteria. The purpose of segmentation is to reduce an image into something more meaningful and easier to analyze. More precisely, image segmentation is often used to locate and extract an object in an image. Image segmentation is one of the hot spots in image processing and computer vision. The success of image analysis depends on the reliability of segmentation, which is an important basis for image recognition. [0003] Deep learning i...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to understand and solve the problem of tongue body extraction from the perspectives of deep learning and image processing. By obtaining a complete tongue image, the tongue body can be extracted from the image through a semantic segmentation network, providing intelligence for tongue body segmentation and even TCM tongue diagnosis. An intelligent tongue segmentation method based on deep learning that provides new ideas

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