Traditional Chinese medicine tongue quality tenderness identification method based on image restoration and convolutional neural network

• Main Authors: XU JIN, XU CHAOXIA, HAO YIMING, ZENG MENGHAO, WANG YIQIN, YAN HAIXIA, YAN JIANJUN, GUO RUI
• Format: Patent
• Language: Chinese; English
• Published: 19.04.2022
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; HANDLING RECORD CARRIERS; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL; PHYSICS; PRESENTATION OF DATA; RECOGNITION OF DATA; RECORD CARRIERS

The invention discloses a traditional Chinese medicine tongue quality tenderness identification method based on image restoration and a convolutional neural network, and the method comprises the steps: obtaining an original tongue image, carrying out the tongue segmentation of the tongue image through a tongue semantic segmentation model, and obtaining a tongue segmentation image; performing tongue coating and tongue quality separation on the tongue body segmentation image by adopting a Gaussian mixture model; obtaining a tongue quality image; establishing a tongue quality image restoration model based on the generative image restoration network, and restoring the tongue quality image by using the tongue quality image restoration model to obtain a tongue quality restoration image with continuous texture features and color changes; carrying out feature extraction and classification on a data set of the tongue quality restoration image obtained after restoration by adopting an improved residual network, and est