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Article: An automated inspection system for textile fabrics based on Gabor filters

TitleAn automated inspection system for textile fabrics based on Gabor filters
Authors
KeywordsDefect detection
Filtering
Gabor function
Gabor wavelet network
Industrial inspection
Textile quality control
Issue Date2008
PublisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/rcim
Citation
Robotics And Computer-Integrated Manufacturing, 2008, v. 24 n. 3, p. 359-369 How to Cite?
AbstractThis paper studies the application of advanced computer image processing techniques for solving the problem of automated defect detection for textile fabrics. A new defect detection scheme is proposed, which consists of an odd symmetric real-valued Gabor filter, an even symmetric real-valued Gabor filter and one smoothing filter. In developing the scheme, the Gabor filters are designed on the basis of the texture features extracted optimally from a non-defective fabric image by using a Gabor wavelet network (GWN). The performance of the proposed defect detection scheme is evaluated off-line by using a set of fabric images taken from a database consisting of a wide variety of homogeneous fabric images. The results exhibit accurate defect detection with low false alarms, thus showing the effectiveness and robustness of the proposed scheme. To evaluate the performance of the proposed defect detection scheme further, real-time tests are conducted by using a prototyped automated defect detection system. The experimental results obtained further confirm the efficiency, effectiveness and robustness of the proposed detection scheme. © 2007 Elsevier Ltd. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/74341
ISSN
2015 Impact Factor: 2.077
2015 SCImago Journal Rankings: 1.621
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorMak, KLen_HK
dc.contributor.authorPeng, Pen_HK
dc.date.accessioned2010-09-06T07:00:23Z-
dc.date.available2010-09-06T07:00:23Z-
dc.date.issued2008en_HK
dc.identifier.citationRobotics And Computer-Integrated Manufacturing, 2008, v. 24 n. 3, p. 359-369en_HK
dc.identifier.issn0736-5845en_HK
dc.identifier.urihttp://hdl.handle.net/10722/74341-
dc.description.abstractThis paper studies the application of advanced computer image processing techniques for solving the problem of automated defect detection for textile fabrics. A new defect detection scheme is proposed, which consists of an odd symmetric real-valued Gabor filter, an even symmetric real-valued Gabor filter and one smoothing filter. In developing the scheme, the Gabor filters are designed on the basis of the texture features extracted optimally from a non-defective fabric image by using a Gabor wavelet network (GWN). The performance of the proposed defect detection scheme is evaluated off-line by using a set of fabric images taken from a database consisting of a wide variety of homogeneous fabric images. The results exhibit accurate defect detection with low false alarms, thus showing the effectiveness and robustness of the proposed scheme. To evaluate the performance of the proposed defect detection scheme further, real-time tests are conducted by using a prototyped automated defect detection system. The experimental results obtained further confirm the efficiency, effectiveness and robustness of the proposed detection scheme. © 2007 Elsevier Ltd. All rights reserved.en_HK
dc.languageengen_HK
dc.publisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/rcimen_HK
dc.relation.ispartofRobotics and Computer-Integrated Manufacturingen_HK
dc.subjectDefect detectionen_HK
dc.subjectFilteringen_HK
dc.subjectGabor functionen_HK
dc.subjectGabor wavelet networken_HK
dc.subjectIndustrial inspectionen_HK
dc.subjectTextile quality controlen_HK
dc.titleAn automated inspection system for textile fabrics based on Gabor filtersen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0736-5845&volume=24&issue=3&spage=359&epage=369&date=2008&atitle=An+Automated+Inspection+System+For+Textile+Fabrics+Based+On+Gabor+Filtersen_HK
dc.identifier.emailMak, KL:makkl@hkucc.hku.hken_HK
dc.identifier.authorityMak, KL=rp00154en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.rcim.2007.02.019en_HK
dc.identifier.scopuseid_2-s2.0-39749106745en_HK
dc.identifier.hkuros153916en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-39749106745&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume24en_HK
dc.identifier.issue3en_HK
dc.identifier.spage359en_HK
dc.identifier.epage369en_HK
dc.identifier.isiWOS:000254770200006-
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridMak, KL=7102680226en_HK
dc.identifier.scopusauthoridPeng, P=7102844225en_HK

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