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1、碩士學位論文價函數(shù),通過學習而得的各參數(shù)可以更好的指導(dǎo)匹配過程的形狀擬合。同時降低了分割過程中搜索函數(shù)的復(fù)雜度,提高了分割的速度。本文采用的基于統(tǒng)計形狀模型的灰度模型通過區(qū)域特征從總體上識別肝臟組織,又在邊緣信息上優(yōu)化細節(jié)。實驗結(jié)果表明該方法能夠提高分割的精度和穩(wěn)定性。關(guān)鍵字:統(tǒng)計形狀模型,灰度外觀模型,邊緣特征,區(qū)域特征,學習的代價函數(shù)V碩士學位論文RESEARCHOFLIVERIMAGESEGMENTATIoNBASEDoNSTATISTICALSHAPEMODELSName:LiChunLiSupervisor:Prof.FengQian
2、jinABSTRACTMedicalimagesegmentationisthetechniquethatdividestheimageintodifferentregionswhichtheinter-regionshavedifferentcharacteristicsandtheintra-regionissimilar,orextractstheinterestedobjectsfromtheimage.Thesegmentationtakesanimportantroleinthefieldofmedicalimageprocessi
3、ngandanalyzing.HoweveLmedicalimagesegmentationisputmoreemphasisontheextractingspecialregions,suchasorgansorcancers.Asthesametime,thedifferentregionsorobjectsshouldbeidentitywitlltheanatomicalstructure.Basedonmedicalimagesegmentation,theimagecontentsCanbebeReranalyzed,whichwi
4、llassistdoctorstodiagnoseandmakethetreatmentplancorrectly.Uptonow,therearelotsofsegmentationmethodsforallkindsofpurposes,butnooneCangenerallyapplytodifferentmodesofimagesanddifferentorgans.Moreover,Thereareflnumberoffactorsthatcausecurrentsegmentationalgorithmsfailtosatisfyt
5、heneedofclinicalpractice,includingtheindividualdifferencesinthetissueanatomy;slowcalculatingspeedandinaccuracy;andpoorimagequalityaffectedbynoise,intensiveinhomogeneityandpartialvolumeeffect(PVE)etc.Inaddition,itisdifficulttodescribethepracticalproblemcompletelyusingmathemat
6、icalmodels;thedissimilarityofthesegmentationobjectives;imagedegradationandSOon.Thereisnosuchanalgorithmofsegmentationwhichiscompetentforallkindsoftheproblems.SoweonlycantakethegivenproblemsandthespecialrequiresintoaccounttodevelopdifferentABSTRACTalgorithms,andbalancebetween
7、theprecision,thespeedandtherobustness.Forthesereasons,themedicalimagesegmentationhasbeenanimportantfieldinmedicalimageprocessingandanalysis.Theliveristhelargestglandinthebody(approximately1500grams)whichisvitalorgan.Ithasawiderangeoffunctions,includingdetoxification,excretio
8、n,bloodstorage,proteinsynthesis,andproductionofbiochemicalsnecessaryfordige