基于活动轮廓模型和显着图的自然图像分割研究

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1、八bstl日etAbstfaCtImagesareanimPortantmethodtogetandexehangeinformationforhumanbeings.IntheeomPuterfield，themainPurposeofdigitalimageProeessing15togetobjeetiveinformationandestablishtherelevantdeseriPtionoftheimagebyanalyZingobjeetsintheimage·Imagesegmentation15afondamentalco

2、mPutervisionteehnologyandabasiePremiseforimageanalysisandPattemreeognition.DuetonaturalimagesarevulnerabletoeomPlexbaekgroundalldirregularehangeofillumination，it15diffieulttoobtainstableseglllentatio一飞results.Intheimagesegllentationarea，togetanaeeuratedeseriPtionofimage，5ob

3、jeetshavebeenstudiedforlongtime.Generally，animageeontains11飞formationoftexture，eolor，Profileandothers，whiehmea一15thatinthesegmentationProeessweshouldeonsidertlleloealandglobalfaetors.Basedonreviewandeoneludetherelevantdomestieandi一:ternationalliteratures，wehavedoneaseriousr

4、esearehandanalysisaboutimagesegmentationaPProaehes.Then，we11aveexPlainedexistProblems，baekgroundandsignificaneeofnaturalimagesegmentation.AccordingtothecharaeteristiesofnaturalimagesanditsownsPeeialneeds，adetailedstudyofimagese乡11entationmethodwhieh15basedonaetiveeontourmod

5、elandameehanisxnofvisualattexltioxlallalysishavebeendone.Levelsetmodel15sensitivetonoiseandPronetofalseedges，whiehleadtostoPevolutionbeeauseofeurveevolutionintoaloealoPtimumandissuesofunevenregionandsensitivityofinitialeontour.Affectedbyaetiveeontourmodelbasedonregion，wePro

6、PosedanimProvedgeometrieactiveeontourmodelwhiehintrodueesthewholeregionasadrivingforeeintoenergyfonetion.Thismodelusesstatistiealinformation一driveneurveevolutionwhichwilleffeetivelyProteettheboundaryinformationandmaketheeurveevolutionstoPattheboundaryPositionwhiehleadstoimP

7、rovetheseglllentationaecuracyatcertainextent.SineethewholeevolutionProeessdoesnotrequirere一initializationanddoesnotneedtoealeulatethesigneddistaneefunetion，theealeulation15greatlyredueed.Thesegn飞entationresultswillbedifferentwhenweusedifferentinitialsegmentationPositioninth

8、atthemodel15vulnerabletotheinitiallevelsetcontourPosition，Iftheinitialeontoureanad