改进的mumford-shah模型与其在医学图像处理中的应用-(5885)

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1、ABSTRACTedgesoftheimagethathaveblurrededgesaccurately．Inordertoovercometheaboveshortcomings，weproposeafastimprovedhierarchicalmultiphaselevel—setsegmentationmodelwhichbasedonthehierarchicalmultiphasesegmentationmodel，fromtheexpectsofthemeancurvature，level-setf

2、unction①andDiracfunction万(①)jntheCHIVeevolutionequationsandallintroductionofananisotropicdiffusionequation，wemodifytheC—Vmodelandgetourimprovedhierarchicalmultiphaseimagesegmentationmodel．Experimentalresultssuggestthatourmodelismoreefficientandfasterinsegmenta

3、tionofmulti-objectimageandobjectswithweakboundaries．TheC-Vmodelalsohasmanydisadvantages：1．Lackofpriorknowledgeandstructureinformationofthedatamodel；2．Thesegmentatedresultsdependonthechoiceofinitialconditions；3．Unreasonablechoiceofweightfactorswillleadtobadsegm

4、entationresults，ifweonlyuseexpedencetodecidethevaluesoftheweightfactors，itwilllowertheuniversalityandautoprocessingabilityofthealgorithm．TheGaussianmixturemodelisaprobabilitymodelwhichapproachstheimagehistogram，also，itisaidealmodelwhichcandescribetheslowvaryin

5、gofthegraylevelintheregionsandthecharacterofthewholeimage，SOweintroducethismodeltodescribetheimage，andusetheposterprobabilitytomodifytheC-Vmodel．Forwedothis，wehavethreeobjectives：(1)noneedtosettingdifferentparameterfortheevolutionequationfordifferentimages．(2)

6、thesinglecurvesettingatanypositionscansegmenttheobjectsweareinterestedin．(3)wecansegmenttheimagesaccuratelyattheedge．C—Vmodelalsotrapsintolocalsolutionwhenitsegmenttheimagesatthesinglescale．Multi-resolutionmethodsobtainaglobalviewofanimagebyexaminingitatvariou

7、sresolutionlevels，andperfectlyunifythecontradictionbetweentheaccuracyinthehigherresolutionandtheeasinessforsegmentationinreducedresolution，thenitavoidsthelocalminimum．C-Vmodelalsolackspriorknowledgeandstructuralinformationofthedatamodel，butMarkovrandomfield(MR

8、F)modelsprovideapowerfulandformalwaytoaccountforspatialdependenciesbetweenimagepixels．So，weconnectthemultiresolution，MRF,andC-Vmodeltogether,andproposeanewhybridmodel，andthisnewmod