Traditional Chinese medicinal material identification method and system based on a double-scale convolutional neural network

Abstract

The invention discloses a traditional Chinese medicinal material recognition method and system based on a double-scale convolutional neural network. The method comprises the following steps: firstly,carrying out 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-layerconvolutional 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 imageinto 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 more accurately and quickly.

Description

technical field [0001] The present disclosure relates to a method and system for identifying Chinese herbal medicines based on a dual-scale convolutional neural network. 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] With the growth of our country's economic level, the living standard of the people is getting higher and higher. In order to improve the quality of life, more and more people begin to pay attention to health preservation. Since ancient times, the culture of traditional Chinese medicine has been extensive and profound, containing the essence of the history of our country for thousands of years. It is the precious wealth accumulated in the long-term struggle of the Chinese nation against diseases and an important part of the excellent culture of the Chinese nation. made a great contribution to its prosperity. [0004] As a traditi...

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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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