Detection of Faults Using Digital Image Processing Technique

J. Patel, M. Jain, P. Dutta
{"title":"Detection of Faults Using Digital Image Processing Technique","authors":"J. Patel, M. Jain, P. Dutta","doi":"10.51983/ajeat-2013.2.1.644","DOIUrl":null,"url":null,"abstract":"This paper presents an approach to automatic detection of fabric defects using digital image processing. In Textile industry automatic fabric inspection is important to maintain the quality of fabric. Fabric defect detection is carried out manually with human visual inspection for a long time. This paper proposes an approach to recognize fabric defects in textile industry for minimizing production cost and time. Fabric analysis is performed on the basis of digital images of the fabric. The recognizer acquires digital fabric images by image acquisition device and converts that image into binary image by restoration and threshold techniques. This paper introduces a method which reduces the manual work. This image processing technique is done using MATLAB 7.10. This research thus implements a textile defect detector with system vision methodology in image processing.","PeriodicalId":8524,"journal":{"name":"Asian Journal of Engineering and Applied Technology","volume":"50 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2013-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Asian Journal of Engineering and Applied Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.51983/ajeat-2013.2.1.644","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

Abstract

This paper presents an approach to automatic detection of fabric defects using digital image processing. In Textile industry automatic fabric inspection is important to maintain the quality of fabric. Fabric defect detection is carried out manually with human visual inspection for a long time. This paper proposes an approach to recognize fabric defects in textile industry for minimizing production cost and time. Fabric analysis is performed on the basis of digital images of the fabric. The recognizer acquires digital fabric images by image acquisition device and converts that image into binary image by restoration and threshold techniques. This paper introduces a method which reduces the manual work. This image processing technique is done using MATLAB 7.10. This research thus implements a textile defect detector with system vision methodology in image processing.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于数字图像处理技术的故障检测
提出了一种基于数字图像处理的织物疵点自动检测方法。在纺织工业中,织物自动检测是保证织物质量的重要手段。织物疵点检测长期采用人工目视检测方式。本文提出了一种纺织品疵点识别方法,以最大限度地降低生产成本和生产时间。织物分析是在织物数字图像的基础上进行的。该识别器通过图像采集装置获取数字织物图像,并通过恢复和阈值技术将图像转换为二值图像。本文介绍了一种减少手工作业的方法。本图像处理技术是使用MATLAB 7.10完成的。本研究利用系统视觉方法在图像处理中实现纺织品缺陷检测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Fatigue Analysis of Engine Blade Structure Considering Thermal Loads Feature Extraction Based Machine Learning Approach for Bone Cancer Detection Design of brake failure control on motorcycle disc brakes through an integrated cooling system Evaluation of capacity and number of gates for delays and fuel consumption in the FTSP UII parking area Energy balance of thermal and catalytic degradation processes of plastic waste for producing alternative fuel
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1