Defect inspection research on fabric based on template correction and primitive decomposition-Reference-Cited by-同舟云学术

Defect inspection research on fabric based on template correction and primitive decomposition

Published:2019-10-31 Issue:14 Volume:13 Page:2916-2928
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET image process

Author:

Liu Wei¹²,Chang Xingzhi¹,Liang Jiuzhen²,Hou Zhenjie²,Xu Li²

Affiliation:

1. Open Laboratory of Industrial Cloud for Intelligent ManufacturingChangzhou College of Information TechnologyChangzhou213164People's Republic of China

2. School of Information Science and Engineering, Changzhou UniversityChangzhou213164People's Republic of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ipr.2018.6626

Reference32 articles.

1. Automation in fabric inspection

2. Defect detection for patterned fabric images based on GHOG and low‐rank decomposition;Li C.;IEEE Access,2017

3. 2015 Int. Conf. Industrial Instrumentation and Control Pune India K. Sakhare A. Kulkarni M. Kumbhakarn Spectral and spatial domain approach for fabric defect detection and classification 640 644

4. Unsupervised defect detection in textiles based on Fourier analysis and wavelet shrinkage;Hu G.H.;Appl. Opt.,2015

5. Wavelet transform and principal component analysis in fabric defect detection and classification;Yildiz K.;Pamukkale University J. Eng. Sci.,2017

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