Defect detection in textured materials using Gabor filters

This paper investigates various approaches for automated inspection of textured materials using Gabor wavelet features. A new supervised defect detection approach to detect a class of defects in textile webs is proposed. Unsupervised web inspection using a multichannel filtering scheme is investigat...

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Bibliographic Details
Published inIEEE transactions on industry applications Vol. 38; no. 2; pp. 425 - 440
Main Authors Kumar, A., Pang, G.K.H.
Format Journal Article
LanguageEnglish
Published New York IEEE 01.03.2002
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Automation
Channels
Computation
Consumer electronics
Defects
Economics
Fabrics
Filtering
Gabor filters
Industry Applications Society
Inspection
Multiplexing
Quality assurance
Textile industry
Textiles
Throughput
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Summary:This paper investigates various approaches for automated inspection of textured materials using Gabor wavelet features. A new supervised defect detection approach to detect a class of defects in textile webs is proposed. Unsupervised web inspection using a multichannel filtering scheme is investigated. A new data fusion scheme to multiplex the information from the different channels is proposed. Various factors interacting the tradeoff for performance and computational load are discussed. This scheme establishes high computational savings over the previously proposed approaches and results in high quality of defect detection. Final acceptance of visual inspection systems depends on economical aspects as well. Therefore, a new low-cost solution for fast web inspection is also included in this paper. The experimental results conducted on real fabric defects for various approaches proposed in this paper confirm their usefulness.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0093-9994
1939-9367
DOI:10.1109/28.993164