ARTIFICIAL VISION BASED FABRIC DEFECT DETECTION SET-UP

被引：1
|
作者：
Soyaslan, Devrim Demiray [1 ]
Karatas, Ibrahim [2 ]
机构：
[1] Univ Mehmet Akif Ersoy, Polymer Engn Dept, Burdur, Turkey
[2] Inst Sci & Technol, Dept Mat Technol Engn, Burdur, Turkey
来源：
TEKSTIL VE KONFEKSIYON | 2018年 / 28卷 / 03期
关键词：
Artificial vision; defect detection; textile; fabric; VISUAL INSPECTION; SYSTEM; QUALITY;
D O I：
10.32710/tekstilvekonfeksiyon.466847
中图分类号：
TB3 [工程材料学]; TS1 [纺织工业、染整工业];
学科分类号：
0805 ; 080502 ; 0821 ;
摘要：
Due to the cost and complexity of existing defect detection systems, a fabric defect detection device based on an artificial vision system has been developed in this study. Using knitted pile fabric, six types of defects were studied: loop drop, fly defect, grease spot, cross- striped defect, hole defect and pilling defect. Obtained fabric images were converted into histograms by a computer program developed within the scope of this study and defect types were characterized.
引用
收藏
页码：236 / 240
页数：5
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