简介：Inthispaper,wepresentatiredefectdetectionalgorithmbasedonsparserepresentation.Thedictionarylearnedfromreferenceimagescanefficientlyrepresentthetestimage.Astherepresentationcoefficientsofnormalimageshaveaspecificdistribution,thelocalfeaturecanbeestimatebycomparingrepresentationcoefficientdistribution.Meanwhile,acodinglengthisusedtomeasuretheglobalfeaturesofrepresentationcoefficients.Thetiredefectislocatedbyboththeselocalandglobalfeatures.Experimentalresultsdemonstratethattheproposedmethodcanaccuratelydetectandlocatethetiredefects.
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