Traditional Chinese medicine identification method and system based on GPU and double-scale image feature comparison

Abstract

The invention discloses a traditional Chinese medicine recognition method and system based on GPU and double-scale image feature comparison. The method comprises the following steps: firstly, carryingout dual-scale image acquisition through a specially designed image acquisition device, sending a training image into a convolutional neural network for training, and carrying out multi-layer convolutional pooling feature extraction and selection, and training to obtain a convolutional neural network model with relatively high identification precision; and sending the to-be-detected image into the trained convolutional neural network model for feature extraction, classifying the traditional Chinese medicinal materials based on the extracted features, and outputting a classification recognition result. The method is beneficial to improving the medicinal material recognition capability of ordinary people, and helps experts in the medicinal material field to identify medicinal materials moreaccurately and quickly.

Description

technical field [0001] The disclosure relates to the fields of GPU high-performance computing, image processing, traditional Chinese medicine recognition, deep learning, and application development, and in particular to a traditional Chinese medicine recognition method and system based on GPU and dual-scale image feature comparison. Background technique [0002] The statements in this section merely enhance the background related to the present disclosure and may not necessarily constitute prior art. [0003] The correct use of Chinese medicinal materials plays a vital role in the safety of patients' lives. Now there are few experts in the field of Chinese herbal medicines. Many interns in pharmacies are not familiar with the identification of medicinal materials. Misuse of medicinal materials is very likely to cause very serious consequences. At present, in the traditional Chinese medicine market, genuine medicines are mixed with counterfeit medicines, and even medical per...

AI Technical Summary

Problems solved by technology

Although the patent can realize the identification of Chinese herbal medicines, the applicant believes that the artificial photography of the patent does not use special devices to take pictures, which cannot avoid the problems of insufficient light, reflections, and hand shakes when taking pictures that cannot accurately identify the type of medicinal materials. image, which will lead to low recognition accuracy of the convolutional neural network in the later stage; and the patent uses a common convolutional neural network algorithm, and the existing problem is that the recognition speed is not fast

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