Research on Glass Fiber Fabric Defect Detection Method Based on Blob Analysis
[1]WANG Qinghai,ZHAO Fengxia,Ll Jifeng,et al.Research on Glass Fiber Fabric Defect Detection Method Based on Blob Analysis[J].Journal of Zhengzhou University (Engineering Science),2015,36(06):90-.[doi:10.3969/j.issn.1671-6833.2015.06.018]
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
36
Number of periods:
2015 06
Page number:
90-
Column:
Public date:
2015-12-25
- Title:
- Research on Glass Fiber Fabric Defect Detection Method Based on Blob Analysis
- Keywords:
- glass giber fabric; on-line detection; gap defect; machine vision; Blob analysis; Otsu algorithm
- CLC:
- -
- Abstract:
- In order to solve the problems，such as low efficiency，poor real-time performance and so on，in on－line detection of glass fiber fabric，a new method of fabric defect detection based on Blob analysis is proposed． Firstly，the image is smoothed by using mean filter，and the noises and the fabric textures are weakened． Then，the Otsu algorithm is used to find the best threshold to segment the image into Blob and background pixels． The shape of the Blob region is adjusted by using morphological processing． Finally，the connectivity analysis and feature extraction of the image are carried out． The number and size of the defects are obtained by using the least square fitting of the Blob region． Experimental results show that the method is simple，reliable and robust．
- References:
-
［1］ AＲIVAZHAGAN S，GANESAN L，BAMA S． Fault segmentation in fabric images using Gabor wavelet transform［J］． Machine Vision and Applications，2006，16( 6) :356－363．［2］ 朱俊岭，汪军，张孝南，等．基于AＲ 模型的机织物线状疵点研究［J］． 纺织学报，2012，33( 8) : 50－54．［3］ 祝双武，郝重阳．基于纹理周期性分析的织物疵点检测方法［J］． 计算机工程与应用，2012，48(21) : 163－166
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