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1、万方数据AbstractImagesegmentationisafundamentalandchallengingresearchprobleminimageprocessingfield.Researchonsegmentationmethodshouldcombineboththecharacteristicsoftheimagedataitselfandthesubsequentapplicationofdividingresult.Inimagescontainingtargetwhichhasthefeatur
2、ethatthebodymarkingshavetwodifferentcolorsalternatelyrepeated,likezebrasandtigers,tosplitupthetargetasawholeisdifficult.Basedonthevisualcomputingtheory,thispapergetsthesketchmapusingtheinitialsketchmodel.Sketchsegmentscharacterizethepositionanddirectionofthesingu
3、larityintheimage.Inimageswearedealingwith,singularityinformationfallsintotwocategories,namely,traditionalboundariesandthebordersbetweenbandsandstripes.Inimagesegmentationfiled,thetraditionalboundariesshouldbereservedasthefinalsegmentboundaries,whiletheboundarybet
4、weenthebandsandstripesisduetodifferenceincolorofadjacentbands.Becauseoftheregularityinbandsandstripesofzebraandtiger,inthefinalsegmentationresult,differentwithtraditionalboundaries,boundarybetweenthebandscannotbethefinalsegmentationboundaries,soastosegmentthetarg
5、etasawhole.Therefore,thispaperbuildsgeometricblockswiththesegmentsthatcomposethesketchmapandthenmapsthegeometricblockstothecorrespondingpositionsoftheoriginalimageandextractstheco-occurrencematrixbasedonthegeometricblocks.Wetreattheco-occurrencematrixasthefeature
6、softhecorrespondinglinesandthendividethesketchsegmentsintobandandstripescategoryandgeneralboundarymarkingscategorybasedonthefeatures.Forthesuperpixelsgotfromtheover-segmentationmethod,wemergethemundertheguidanceofthesketch-classification-basedsemanticinformation.
7、Forthesuperpixelswhichbeguidedbythebandandstripescategory,wecountupthegrayvaluesofthemandthenmakeafurthersegmentationbasedonthegrayscalestatisticssymbioticrelationshipbetweeneachsuperpixelanditsneighbors.Thus,wegetthefinalsegmentationresult.Simulationresultsshowt
8、hattheproposedmethodcangetbettersegmentationresults.Thispaperalsoappliestheproposedmethodtothecolorimagesegmentation.Comparedwiththegray-scaleimage,thecolorima