基于YOLOX的数字印花织物缺陷检测轻量级模型

IF 2.2 4区 工程技术 Q1 MATERIALS SCIENCE, TEXTILES Journal of Engineered Fibers and Fabrics Pub Date : 2023-01-01 DOI:10.1177/15589250231208702
Zebin Su, Hao Zhang, Pengfei Li, Huanhuan Zhang, Yanjun Lu
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引用次数: 0

摘要

数字印刷缺陷的在线检测是一个必要而又具有挑战性的课题。对于数码印花织物疵点图案的多样性和在线检测的实时性要求,目前检测方法的性能还不理想。本文提出了一种基于YOLOX的数字印花织物缺陷检测的轻量化模型。首先,根据数码印花织物缺陷类型多、背景复杂的特点,构建了基于YOLOX的缺陷检测网络结构;然后,引入SE关注模块,增强重要特征,弱化不重要特征,使提取的特征更具方向性;进一步解决了小特征尺寸对小目标检测精度的影响。实验结果表明,该模型在自建数据集上的检测精度为66.2 mAP,比YOLOX提高了2.7个百分点。该方法可以有效地解决小缺陷检测精度低的问题。该模型能够满足实时性要求,提高小目标缺陷的检测精度。
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A lightweight model for digital printing fabric defect detection based on YOLOX
Online detection of digital printing defects is a necessary but challenging topic. The performance of the current detection methods is still not ideal for the diversified patterns of digital printing fabric defects and the realtime requirements of online detection. In this paper, we proposed a lightweight model of digital printing fabric defect detection based on YOLOX. Firstly, according to the characteristics of many types of defects and complex background of digitally printed fabrics, a defect detection network structure based on YOLOX is constructed. Then, the SE attention module is introduced to enhance important features and weaken unimportant features, which make the extracted features more directional. And it can further solve the influence of small feature size on the detection accuracy of small targets. The experimental results show that the proposed model has a detection accuracy of 66.2 mAP on our self-built dataset, which is 2.7 percentage points higher than YOLOX. This method can effectively solve the problem that low detection accuracy of small defects. The proposed model can meet the real-time requirements and improve the detection accuracy of small target defects.
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来源期刊
Journal of Engineered Fibers and Fabrics
Journal of Engineered Fibers and Fabrics 工程技术-材料科学:纺织
CiteScore
5.00
自引率
6.90%
发文量
41
审稿时长
4 months
期刊介绍: Journal of Engineered Fibers and Fabrics is a peer-reviewed, open access journal which aims to facilitate the rapid and wide dissemination of research in the engineering of textiles, clothing and fiber based structures.
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