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Image segmentation based on Mumford-Shah functional
作者姓名:陈旭锋  管志成
作者单位:Department of Mathematics,Zhejiang University,Department of Mathematics,Zhejiang University Hangzhou 310027,China,Hangzhou 310027,China
摘    要:INTRODUCTIONInthefieldsofComputerVisionandImageProcessing,thetheoryofPDEhasbeenappliedverysuccessfullytoimagesegmentationandim agesmoothing (seeAmbrosioetal.,1992 ;March,1992 ;Weickert,1998;Bourdin ,1999;IEEETrans.onImageProcessing ,1998) .Intheclassicalsnakesandactivecont ourmodels,aspointedoutintheChanandVese’swork(ChanandVese,2 0 0 1) ,tostoptheevolvingcurveontheboundaryofthedesiredobject,anedge detectorisused ,dependingonthegradientoftheinitialimageu0 .Fortheproblemsofcurveev…

关 键 词:Image  segmentational    Mumford  Shah  functional    Viscosity  solution    Level  set  method  

Image segmentation based on Mumford-Shah functional
CHEN Xu feng,GUAN Zhi cheng.Image segmentation based on Mumford-Shah functional[J].Journal of Zhejiang University Science,2004(1).
Authors:CHEN Xu feng  GUAN Zhi cheng
Abstract:In this paper, the authors propose a new model for active contours segmentation in a given image, based on Mumford Shah functional (Mumford and Shah, 1989). The model is composed of a system of differential and integral equations. By the experimental results we can keep the advantages of Chan and Vese's model (Chan and Vese, 2001) and avoid the regularization for Dirac function. More importantly, in theory we prove that the system has a unique viscosity solution.
Keywords:
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