snake 模型与深度凹陷区域的分割

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1、计算机研究与发展lSSN1000—1239／CN11—1777／TPJournalofComputerResearchandDevelopment42(7)：l179～ll84，2005Snake模型与深度凹陷区域的分割王元全汤敏王平安夏德深徐晔。(南京理工大学计算机科学与工程系南京2l0094)(香港中文大学计算机科学与工程系香港)(江苏油田南京计算中心南京2l0046)(fitl00@sohu．corn)ResearchonBoundaryConcavitiesSegmentationviaSnakeModelsWangYuanquan，TangMin，PhengAnnHeng

2、，XiaDeshen，andXuYe。(Departmentof’ComputerScience&Engineering，NanjingUniversityof&ienceandTechnology．Nanjing210094)(DepartmentofComputers(ience&Engineering，TheChineseUniversity，HongKong，HongKg)(NanjingGeophysicalProspectingResearchInstituteofJiangsuOilfield，Nanjing210046)AbstractSnakemodelsaree

3、xtensivelyusedfromitsdebutinimageprocessingandmotiontracking，butitspoorconvergenceonconcaveboundaryisahandicapforobjectlocation．Although，theGVFSnakemodelshowshighperformanceforthisproblem，butitsuffersfromcostlycomputationbyvirtualofPDE’sandanotherso—calledcriticalpointproblemfortheinitialconto

4、urselection．InordertoimprovetheperformanceofthetraditionalSnakemodelforconcavitysegmentation，anewexternalforcebasedonthelocalcurvatureofthediscretecontourandatwo—stageSnake—basedalgorithmareproposed．Thelocalcurvatureofthediscretecontour，whichcharacterizesthebendingofacontourassociatedwithadire

5、ction，isdefinedusingthecenteroftheinscribedcircleofthetrianglederivedfromthreeconseeutivecontournodes．ThefirststageofthenewmethodisatraditionalSnake，andinthesecondstagethenewforcewoulddrivethecontourintotheconcaveregion．ThisnewforcecanalsobegeneralizedtoenlargethecapturerangeoftheSnakemode1．In

6、thiscase，itcanbeconsideredasageneralizationoftheballoonforce．Inordertoovercomethedifficultyofdeterminingthemagnitude，themagnitudeissettobesmallandthegradient—basedforceisfirstusedasresistance；whenthecontourisconverged，thegradient—basedforceswervestoattractthecontour．Generalizedinthisway，thecap

7、turerangeisenlargedandthereisnocriticalpointproblem．Theexperimentalresultsvalidatetheperformanceofthismethod．KeywordsSnakemodels；GVFSnakemodel；concavitysegmentation摘要在基于Snake模型的图像分割中，深度凹陷区域的分割是一个难点．尽管GVFSnake模型极大地改善了这个问题，但它需要事先求解一个偏微分方程