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基于视觉词典与多尺度特征融合的药品外包装图像检索系统设计与实践

聂和愉 王明举 于涛 吴伟 张进

中国医疗设备2025,Vol.40Issue(11):12-19,8.
中国医疗设备2025,Vol.40Issue(11):12-19,8.DOI:10.3969/j.issn.1674-1633.20241978

基于视觉词典与多尺度特征融合的药品外包装图像检索系统设计与实践

Design and Practice of Drug Outer Packaging Image Retrieval System Based on Visual Dictionary and Multi-Scale Feature Fusion

聂和愉 1王明举 1于涛 1吴伟 1张进1

作者信息

  • 1. 十堰市太和医院(湖北医药学院附属医院)信息资源部,湖北 十堰 442000
  • 折叠

摘要

Abstract

Objective To develop a drug outer packaging retrieval model and integrate it into the drug dispensing system of the hospital outpatient pharmacy,in order to optimize the outpatient drug dispensing business process and improve the work efficiency and safety of the drug dispensing link.Methods A Feature extraction method based on the fusion of scale-invariant feature transform(SIFT)and speeded up robust features(SURF)was proposed.The drug outer packaging image retrieval algorithm combining vector of locally aggregated descriptors(VLAD)feature coding was used to train the collected outer packaging images of commonly used outpatient drugs.The running time of key steps,the prediction probability vector and the prediction result were taken as the evaluation indicators of this model.An interactive visual control was designed using Windows Form,and the algorithm was directly invoked by pharmacists through the operator interface.Results The visual dictionary model based on feature fusion took less time in generating the visual dictionary,VLAD encoding and the total training time compared with the visual dictionary model based on SIFT.Moreover,it has better prediction performance,with an accuracy of up to 99.02%and an average probability value of 94.77%for a single sample output.The outpatient pharmacy dispensing system optimized by the algorithm in this study has significantly improved in terms of waiting time for dispensing and the number of dispensing errors compared with that before optimization,and the differences were statistically significant(P<0.05).Conclusion Integrating the algorithm of feature fusion of SIFT and SURF and feature coding with VLAD into the dispensing system of the outpatient pharmacy can accurately retrieve the names of drug outer packaging,play an auxiliary role in the dispensing process of pharmacists,improve work efficiency,and reduce a series of medical disputes caused by dispensing errors.

关键词

门诊药房/特征融合/视觉词典/发药差错/药事服务/局部聚合描述子向量(VLAD)特征编码/检索系统

Key words

outpatient pharmacy/feature fusion/visual dictionary/medication dispensing error/pharmaceutical services/vector of locally aggregated descriptors(VLAD)feature coding/retrieval system

分类

医药卫生

引用本文复制引用

聂和愉,王明举,于涛,吴伟,张进..基于视觉词典与多尺度特征融合的药品外包装图像检索系统设计与实践[J].中国医疗设备,2025,40(11):12-19,8.

基金项目

"十四五"湖北省高等学校优势特色学科群(现代医学)项目(2024XKQT31) (现代医学)

2024年度十堰市引导性科研项目(24Y069). (24Y069)

中国医疗设备

1674-1633

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