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1、八bstl日etAbstfaCtImagesareanimPortantmethodtogetandexehangeinformationforhumanbeings.IntheeomPuterfield,themainPurposeofdigitalimageProeessing15togetobjeetiveinformationandestablishtherelevantdeseriPtionoftheimagebyanalyZingobjeetsintheimage·Imagesegmentation15afondamentalco
2、mPutervisionteehnologyandabasiePremiseforimageanalysisandPattemreeognition.DuetonaturalimagesarevulnerabletoeomPlexbaekgroundalldirregularehangeofillumination,it15diffieulttoobtainstableseglllentatio一飛results.Intheimagesegllentationarea,togetanaeeuratedeseriPtionofimage,5ob
3、jeetshavebeenstudiedforlongtime.Generally,animageeontains11飛formationoftexture,eolor,Profileandothers,whiehmea一15thatinthesegmentationProeessweshouldeonsidertlleloealandglobalfaetors.Basedonreviewandeoneludetherelevantdomestieandi一:ternationalliteratures,wehavedoneaseriousr
4、esearehandanalysisaboutimagesegmentationaPProaehes.Then,we11aveexPlainedexistProblems,baekgroundandsignificaneeofnaturalimagesegmentation.AccordingtothecharaeteristiesofnaturalimagesanditsownsPeeialneeds,adetailedstudyofimagese鄉(xiāng)11entationmethodwhieh15basedonaetiveeontourmod
5、elandameehanisxnofvisualattexltioxlallalysishavebeendone.Levelsetmodel15sensitivetonoiseandPronetofalseedges,whiehleadtostoPevolutionbeeauseofeurveevolutionintoaloealoPtimumandissuesofunevenregionandsensitivityofinitialeontour.Affectedbyaetiveeontourmodelbasedonregion,wePro
6、PosedanimProvedgeometrieactiveeontourmodelwhiehintrodueesthewholeregionasadrivingforeeintoenergyfonetion.Thismodelusesstatistiealinformation一driveneurveevolutionwhichwilleffeetivelyProteettheboundaryinformationandmaketheeurveevolutionstoPattheboundaryPositionwhiehleadstoimP
7、rovetheseglllentationaecuracyatcertainextent.SineethewholeevolutionProeessdoesnotrequirere一initializationanddoesnotneedtoealeulatethesigneddistaneefunetion,theealeulation15greatlyredueed.Thesegn飛entationresultswillbedifferentwhenweusedifferentinitialsegmentationPositioninth
8、atthemodel15vulnerabletotheinitiallevelsetcontourPosition,Iftheinitialeontoureanad