A NEW DEFORMABLE MODEL USING LEVEL SETS FOR SHAPE SEGMENTATION

(整期优先)网络出版时间:2009-03-13
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Inthispaper,wepresentanewdeformablemodelforshapesegmentation,whichmakestwomodificationstotheoriginallevelsetimplementationofdeformablemodels.Themodificationsaremotivatedbydifficultiesthatwehaveencounteredinapplyingdeformablemodelstosegmentationofmedicalimages.Thelevelsetalgorithmhassomeadvantagesovertheclassicalsnakedeformablemodels.However,itcoulddeveloplargegapsintheboundaryandholeswithintheobjects.Suchboundarygapsandholesofobjectscancauseinaccuratesegmentationthatrequiresmanualcorrection.Theproposedmethodinthispaperpossessesaninherentpropertytodetectgapsandholeswithintheobjectwithasingleinitialcontourandalsodoesnotrequirespecificinitialization.Thefirstmodificationistoreplacetheedgedetectorbysomeareaconstraint,andthesecondmodificationutilizesweightedlengthconstrainttoregularizethecurveunderevolution.Theproposedmethodhasbeenappliedtobothsyntheticandrealimageswithpromisingresults.