现代信息科技2024，Vol.8Issue(4)：136-141,6.DOI:10.19850/j.cnki.2096-4706.2024.04.029
安检图像小目标违禁品特征提取模块构建与应用
Construction and Application of a Feature Extraction Module for Small Target Prohibited Items in Security Inspection Images
刘天时 1周泽华 1郝敏杰1
作者信息
- 1. 西安石油大学 计算机学院,陕西 西安 710065
- 折叠
摘要
Abstract
Aiming at the problem that small target prohibited items in logistics package security inspection images is easy to miss detection,a feature extraction module suitable for small target prohibited items detection is constructed by introducing a convolutional attention module on the multi-branch parallel network of the receptive field module.On this basis,the constructed feature extraction module is integrated into the backbone of the YOLOv5 model,so that the model focuses on the important features of the image in the process of prohibited items detection.In order to fully utilize the feature extraction ability of the constructed module for small target objects,a spatial depth conversion module is used to replace the downsampling module in the original model,so that the YOLOv5 model can retain the feature information of small target objects as much as possible during the feature extraction process,and improve the detection effect for small target prohibited items.关键词
安检图像/小目标违禁品/特征提取模块/计算机视觉/物流包裹Key words
security inspection image/small target prohibited item/feature extraction module/computer vision/logistics分类
信息技术与安全科学引用本文复制引用
刘天时,周泽华,郝敏杰..安检图像小目标违禁品特征提取模块构建与应用[J].现代信息科技,2024,8(4):136-141,6.
