Pyramid network Chinese herbal medicine identification method based on attention mechanism

A recognition method, a technology of Chinese herbal medicine, applied in the field of recognition of Chinese herbal medicine in the pyramid network, can solve the problems of discontinuity in parameter optimization, inconvenient promotion and use, and limited expression ability
CN110110751AInactive Publication Date: 2019-08-09SOUTH CHINA UNIV OF TECH
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Patent Information

Authority / Receiving Office
CN Β· China
Current Assignee / Owner
SOUTH CHINA UNIV OF TECH
Publication Date
2019-08-09
Estimated Expiration
Not applicable Β· inactive patent

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Abstract

The invention discloses a pyramid network Chinese herbal medicine identification method based on an attention mechanism, which comprises the following steps: 1) constructing a Chinese herbal medicinedata set, and making a Chinese herbal medicine training set and a Chinese herbal medicine test set; 2) constructing a feature fusion structure block based on a channel attention mechanism, and introducing a competition attention module; 3) adding a spatial attention mechanism to the feature fusion structure block of the pyramid network, adjusting the two information flows by using a spatial collaborative attention module, and fusing the two adjusted information flows as output; 4) constructing a pyramid network based on an attention mechanism, and training by using a Chinese herbal medicine training set; and 5) transmitting the pictures in the Chinese herbal medicine test set to the trained network model to identify the Chinese herbal medicine types corresponding to the pictures, thereby improving the Chinese herbal medicine identification accuracy and performance, assisting related industrial personnel to identify the Chinese herbal medicines, and facilitating non-professionals to identify the Chinese herbal medicines.
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Description

technical field

[0001] The invention relates to the application technical field of image recognition in the computer field and Chinese herbal medicine recognition in the field of traditional Chinese medicine, in particular to a Chinese herbal medicine recognition method based on a pyramid network of an attention mechanism. Background technique

[0002] Image classification and recognition technology is based on digital images, extracting features from images to identify and judge the category of images. Deep convolutional neural networks have achieved great success in the field of image processing [C.Szegedy, W.Liu, Y.Jia, P.Sermanet, S.Reed, D.Anguelov, D.Erhan, V.Vanhoucke, and A. Rabinovich.Going deeper with convolutions.CVPR,2015.], it can automatically model and extract features from complex image data sets, so it has been widely used in target detection [R.Girshick.Fast r-cnn.Proceedings of the IEEE international conference on computer vision, 2015] and image recognit...

Claims

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