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Unsupervised fabric defect detection with local spectra refinement (LSR)
Sahar Shakir
*
,
Cihan Topal
*
Corresponding author for this work
Department of Artificial Intelligence and Data Engineering
Northern Technical University
Research output
:
Contribution to journal
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Article
›
peer-review
3
Citations (Scopus)
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Dive into the research topics of 'Unsupervised fabric defect detection with local spectra refinement (LSR)'. Together they form a unique fingerprint.
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Keyphrases
Automated System
50%
Defect Region
50%
Defect Size
50%
Defect Type
50%
Detection Method
50%
Different Datasets
50%
Fabric Defect
100%
Fabric Defect Detection
100%
Fabric Pattern
100%
Local Patch
50%
Local Spectrum
100%
Production Quality
50%
Real-world Practice
50%
Simple Flow
50%
Small Patch
50%
Spectral Domain Analysis
50%
Spectral Refinement
100%
Spectral Representation
100%
Supervised Systems
50%
Textile Defect
50%
Textile Fabrics
50%
Textile Image
50%
Training Scheme
100%
Engineering
Automated System
50%
Defect Detection
100%
Domain Analysis
50%
Fabric Pattern
100%
Fabric Sample
50%
Great Importance
50%
Local Spectrum
100%
Spectral Domain
50%
Textile Fabric
50%
Computer Science
Detection Method
50%
Domain Analysis
50%
Spectral Domain
50%
Spectral Representation
100%