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1、IEEETRANSACTIONSONINDUSTRIALELECTRONICS,VOL.52,NO.4,AUGUST20051073DevelopmentofReal-TimeVision-BasedFabricInspectionSystemChe-SeungCho,Byeong-MookChung,Member,IEEE,andMoo-JinParkAbstract—Qualityinspectionoftextilefabricproductsisanim-fabricdefectsiscr
2、iticallyimportantinthetextileindustry.Inportantproblemforfabricmanufacturers.Thispaperpresentsanparticular,ifthereisadefect,itreducesthepriceofthefabricautomaticvision-basedsystemforthequalitycontrolofwebtex-by45%–65%.Toincreasetheoverallquality,homog
3、eneityoftilefabrics.Typicalwebmaterialis13mwideandisdrivenwithfabric,andreliability,anautomatedvisualinspectionsystemisspeedsrangingfrom20to200m/min.Atpresent,thequalityin-spectionprocessismanuallyperformedbyexperts.However,theyneededforbetterproducti
4、vity.Atypicalwebmaterialis1–3mcannotdetectmorethan60%oftheoveralldefectsforthefabricwideandisdrivenwithspeedsrangingfrom20to200m/min.ifitismovingfasterthan30m/min.ToincreasethequalityandEveninthebestcases,expertscandetectnomorethan60%homogeneityoffabr
5、ics,anautomatedvisualinspectionsystemisoftherealdefects,andtheycannotdealwithfabricwiderthanneededforbetterproductivity.Currently,theexistinginspection2mandmovingfasterthan30m/min.Manyattemptshavesystemsaretooexpensiveforsmallcompanies.Inthispaper,aPC
6、-basedreal-timeinspectionsystemisproposedwithbenefitsofbeenmadetosolvetheseproblems.Forexample,Cohenetlowcostandhighdetectionrate.Theproposedalgorithmshowedal.[6]usedMarkovRandomField(MRF)modelsfordefectgoodresultsforseveraltypesoffabricdefects.inspect
7、ionoffabricsurfaces.ChenandJain[7]usedastructuralIndexTerms—Automatedinspection,fabricdefects,textileapproachtodetectdefectsintexturedimages.Dewaeleetal.fabricinspection,vision-basedsystem.[8]usedsignalprocessingmethodstodetectpointdefectsandlinedefec
8、tsintextureimages.Atalay[9]hasimplementedanMRF-basedmethodonaTMS320C40parallel-processingI.INTRODUCTIONsystemforreal-timedefectinspectionoffabrics.ThemajorityECENTLY,opticaldevicesarebeingincorporatedintoofautomatedinspectionsystemscurrentlyav
