基于机器视觉的无纺布缺陷自动检测系统

计算机科学 ›› 2014, Vol. 41 ›› Issue (Z6): 487-489.

基于机器视觉的无纺布缺陷自动检测系统

邵鑫玉,华继钊

扬州大学信息工程学院扬州225127;扬州大学信息工程学院扬州225127

出版日期:2018-11-14 发布日期:2018-11-14

Automatic Detection System of Fabric Defects Based on Machine Vision

SHAO Xin-yu and HUA Ji-zhao

Online:2018-11-14 Published:2018-11-14

摘要/Abstract

摘要： 织物疵点检测在计算机视觉织物质量自动检测中起着重要作用,其目标是准确查找及定位缺陷的位置。目前我国纺织品检测大多采用人工检测,存在检测速度低、误检率及漏检率高等问题。提出的织物疵点缺陷自动化检测系统是一种无监督的缺陷检测系统,主要是通过利用每个非重叠区域图像的灰度均值,设定动态阈值,进行分割,并采用Blob方法提取缺陷特征。实验结果表明,该方法在无纺布缺陷检测方面有较好的效果。

关键词: 缺陷检测,纹理检测,SVD,Blob 中图法分类号TP391.4文献标识码A

Abstract: Fabric defect detection plays an important role in automatic visual inspection system detects．For the purpose of detect and localize texture defects．Inspection of fabric products has been done manually by trained staff at present．However,there are still some problems,such as low detection rate,high rate of error checking and high missed rate．In this passage,we put forward the fabric defect defects automatic detection system is a kind of unsupervised defect detection system．Mainly through the gray value of each of the non-overlapping areas of the image,set dynamic threshold segmentation,and using Blob defect feature extraction method．Experimental results show that the method has a good effect on the nonwoven fabric defect detection.

Key words: Defect detection,Texture detection,SVD,Blob

邵鑫玉,华继钊. 基于机器视觉的无纺布缺陷自动检测系统[J]. 计算机科学, 2014, 41(Z6): 487-489. https://doi.org/

SHAO Xin-yu and HUA Ji-zhao. Automatic Detection System of Fabric Defects Based on Machine Vision[J]. Computer Science, 2014, 41(Z6): 487-489. https://doi.org/

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