福建电脑2024，Vol.40Issue(5)：14-20,7.DOI:10.16707/j.cnki.fjpc.2024.05.003
中草药图像识别分类模型的设计与实现
Design and Implementation of Chinese Herbal Medicine Image Recognition Classification Model
摘要
Abstract
Chinese herbal medicine,as an important component of traditional Chinese medicine,plays a crucial role in the treatment of various diseases.Due to the visual similarity of many Chinese herbal medicines,in order to apply deep learning for their classification and recognition,this study constructed a Chinese herbal medicine classification and recognition model.The construction of the model adopts residual neural network combined with convolutional block attention module,and applies fusion of local binary pattern features and transfer learning strategy to improve the recognition accuracy of the model.The experimental results show that the accuracy,recall,precision,and F1 score of the model in this paper reach 96.88%,96.80%,96.87%,and 96.80%,respectively.关键词
中草药/残差神经网络/分类识别模型Key words
Chinese Herbal Medicine/ResNet/Classification Recognition Model分类
信息技术与安全科学引用本文复制引用
张超辉,江燕,戴杰玲..中草药图像识别分类模型的设计与实现[J].福建电脑,2024,40(5):14-20,7.基金项目
本文得到广东省普通高校特色创新项目(No.2021KTSCX326)、中国高校产学研创新基金项目——新一代信息技术创新项目(No.A01-2021ITA01006)资助. （No.2021KTSCX326）
