Cigarette defect detection based on independent feature extraction constraints

IF 0.7 4区 工程技术 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC
Zhendong Su, Jiang Li, Guoyun Huang, Zhanheng Tang, Honghan Qin, Liren Huang, Jian Zhou, Benxue Liu
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引用次数: 0

Abstract

The detection of appearance defects in cigarettes is crucial in the field of industrial defect detection. Most existing detection methods achieve defect detection by utilizing deep learning to learn feature representations of various types of defects. However, due to the complexity and randomness of the production and processing process, the differences between defects in different cigarettes are not significant, which greatly affects the detection performance. Therefore, to address this issue, this article proposes a cigarette defect detection method based on independent feature extraction constraints, called IFEC. The core idea of this method is to extract independent features of different defect categories to increase the differences between features of different categories, enhance the distinguishability of features, and achieve accurate cigarette defect detection. In IFEC, an independence feature extraction constraint module is proposed that constrains the network to extract highly independent defect features of different categories through feature decoupling and feature decorrelation. The sufficient experimental results indicate that the proposed IFEC has superior detection performance compared to existing detection methods.

Abstract Image

基于独立特征提取约束的卷烟缺陷检测
卷烟外观缺陷的检测是工业缺陷检测领域的关键。现有的缺陷检测方法大多是利用深度学习来学习各种类型缺陷的特征表示来实现缺陷检测的。然而,由于生产加工过程的复杂性和随机性,不同卷烟的缺陷之间的差异并不显著,这极大地影响了检测性能。因此,为了解决这一问题,本文提出了一种基于独立特征提取约束的卷烟缺陷检测方法,称为IFEC。该方法的核心思想是提取不同缺陷类别的独立特征,增加不同类别特征之间的差异,增强特征的可分辨性,实现卷烟缺陷的准确检测。在IFEC中,提出了一个独立的特征提取约束模块,通过特征解耦和特征去相关来约束网络提取不同类别的高度独立的缺陷特征。充分的实验结果表明,与现有的检测方法相比,所提出的IFEC具有更好的检测性能。
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来源期刊
Electronics Letters
Electronics Letters 工程技术-工程:电子与电气
CiteScore
2.70
自引率
0.00%
发文量
268
审稿时长
3.6 months
期刊介绍: Electronics Letters is an internationally renowned peer-reviewed rapid-communication journal that publishes short original research papers every two weeks. Its broad and interdisciplinary scope covers the latest developments in all electronic engineering related fields including communication, biomedical, optical and device technologies. Electronics Letters also provides further insight into some of the latest developments through special features and interviews. Scope As a journal at the forefront of its field, Electronics Letters publishes papers covering all themes of electronic and electrical engineering. The major themes of the journal are listed below. Antennas and Propagation Biomedical and Bioinspired Technologies, Signal Processing and Applications Control Engineering Electromagnetism: Theory, Materials and Devices Electronic Circuits and Systems Image, Video and Vision Processing and Applications Information, Computing and Communications Instrumentation and Measurement Microwave Technology Optical Communications Photonics and Opto-Electronics Power Electronics, Energy and Sustainability Radar, Sonar and Navigation Semiconductor Technology Signal Processing MIMO
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