關(guān)于水平集在圖像分割中應(yīng)用的研究碩士論文

1、西北大學碩士學位論文關(guān)于水平集在圖像分割中應(yīng)用的研究姓名：李麗娟申請學位級別：碩士專業(yè)：計算數(shù)學指導教師：張書玲20080612西北大學碩士學位論文TheresearchOfleVeIsetmethodiⅡimagesegmentatiOnAbstracthlthercsearchand印plicatioⅡofiInage，imagesegrnemationis距iInponantpartofimageprocessingP∞pleof

2、tenonlyimerestedincertainpartsoftheimage，accordingtomfrerentinlageanalysistask，imagesegrnentationaimsatpaftitiontheoriginalimageintoseveralmeaning血lrc百onsorisolatingthere畫onofimcrestin呂IIl廿lispaper，several仃aditionalimage

3、se鯽entationmemodsarein仃oducedfirstlv，thent11ebasicmeorvonlevclsetmethodissystematicalIyrese疵hedThe1evelsetmethodbasedon鼯ome砸cdefo冊ablemodel，whichtranslatestheprobl鋤ofevolutionof2Dclosecun7eintotlleevolutionof1evelset劬cti

4、oniIlmesDacewi血hj211erdimeIlsionGeomelricdefomlablemodelismadetllewidespreadapplicationinimagesegm∞tationbecauseofautoadaptedabilityoft叩ology鋤dthesteadvvalueconditionAndGeodesicActiveC：ontourModelandMomfordSha：hModelaswe

5、llastheirapplicationinimagese鯽entationfieldisdiscu豁ed111isarticleb血netaskis器f01lows：firstlyt11eGACmodel鋤dsimplyMSmodelarepro盯鋤med，a11dtlledrawbacksofthesemethodsispointedouttllrougllexperimemsanalVsisTheiInprovedmethodis

6、proposedwllichcombinesGACmodel柚dsim口lvMSmodel(CVmethod)，t11emethodconsidermeinformationof燈adielltiIlfo肌ation勰well邪homog∞eityre西oninfomationTheexperimentalrc鋤1ts≤howthatthismetllodcanmakeupthedefbctsofthemUsingtllismethod

7、，theoveraUsolutioncanbereceived，andthecomplexityofmn血ngtimecanbereducedhladditionCVdoublelevelsetmethodispmposed，nhas鋤idealschemeofre西onpanitionandisabletose毋neIlttheimagewhichhasmanydifferentre西onsKeywords：ImageSegnlcnt