简介:Inthispaper,wepresentatiredefectdetectionalgorithmbasedonsparserepresentation.Thedictionarylearnedfromreferenceimagescanefficientlyrepresentthetestimage.Astherepresentationcoefficientsofnormalimageshaveaspecificdistribution,thelocalfeaturecanbeestimatebycomparingrepresentationcoefficientdistribution.Meanwhile,acodinglengthisusedtomeasuretheglobalfeaturesofrepresentationcoefficients.Thetiredefectislocatedbyboththeselocalandglobalfeatures.Experimentalresultsdemonstratethattheproposedmethodcanaccuratelydetectandlocatethetiredefects.
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简介:Thisarticlepresentsagoodrobustandreal-timesystemschemeofthemobilerobotobstacledetectionandnavigation,whichprincipleofworkisbasedonthefeaturedescriptorSURF.Inthisscheme,firstly,theimageinformationofthemobilerobotpathwascapturedbythebinocularcamera;thenthefeaturepointswereextractedandcorrespondingmatchedusingSURFtothebinocularimagesastheundetectedobstacles;finallyfixedthepositionoftheobjectivebytheparallaxbetweenthematchingpointscombiningwiththebinocularvisioncalibrationmodel.Theoreticalderivationandexperimentalresultsshowthatthisschemeismoreaccurateforthedetectionandnavigationoftheinterestpoints.Ithasfastmatchingspeedandhighaccuracyandlowerror.So,ithascertainpracticaleffectandpopularizingvalueforthemobilerobotreal-timeobstacleavoidanceandnavigation.