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基于清晰度的彩色图像分割改进算法.docx

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基于清晰度的彩色图像分割改进算法 Abstract Imagesegmentationisafundamentaltaskinimageprocessingandcomputervisionthatplaysacriticalroleinmanyapplications.Inrecentyears,therehavebeensignificantadvancesinimagesegmentationalgorithmsforcolorimages.However,obtaininghigh-qualitysegmentationsforcolorimageswithvaryinglevelsofclarityremainsachallenge.Inthispaper,weproposeanimprovedimagesegmentationalgorithmbasedonclaritylevelsforcolorimages.Theproposedalgorithmutilizestheclaritylevelsoftheimagetoimprovetheimagesegmentationaccuracy.Experimentalresultsonseveralbenchmarkdatasetsshowthattheproposedalgorithmachievessuperiorperformancecomparedtostate-of-the-artalgorithms. 1.Introduction Imagesegmentationistheprocessofpartitioninganimageintomultipleregionsbasedoncertaincriteriasuchascolor,texture,andintensity.Imagesegmentationisanessentialtaskinmanyapplicationsincludingobjectrecognition,imageretrieval,medicalimaging,robotics,andsurveillance.Theaccuracyandspeedofimagesegmentationplayacriticalroleintheseapplications.Inparticular,colorimagesegmentationhasreceivedsignificantattentioninrecentyearsduetoitsimportanceinreal-worldapplications. Althoughtherehavebeensignificantadvancesinimagesegmentationforcolorimages,obtaininghigh-qualitysegmentationsforimageswithvaryinglevelsofclarityremainsachallenge.Claritylevelsaredefinedasthedegreeofsharpnessorblurrinessofanimage.Inreal-worldscenarios,imagesmayhavevaryinglevelsofclarityduetofactorssuchasmotionblur,occlusions,andnoise.Thesevariationsinclaritylevelscanleadtoinaccuratesegmentationresults,whichinturnhindertheaccuracyofdownstreamapplications. Inthispaper,weproposeanimprovedimagesegmentationalgorithmbasedonclaritylevelsforcolorimages.Theproposedalgorithmutilizestheclaritylevelsoftheimagetoimprovetheaccuracyofimagesegmentation.Theremainderofthispaperisorganizedasfollows.Section2providesareviewofrelatedworks.Section3presentstheproposedalgorithm.Section4presentsexperimentalresultsonbenchmarkdatasets.Finally,Section5concludesthepaperandprovidesinsightsforfuturewor