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This paperpresentsanewregion-basedactivecontourmodelinavariationallevelset
formulationforimagesegmentation.Inourmodel,thelocalimageintensitiesare
describedbyGaussiandistributionswithdifferentmeansandvariances.Wedefinea
local Gaussiandistributionfittingenergywithalevelsetfunctionandlocalmeansand
variancesasvariables.Theenergyminimizationisachievedbyaninterleavedlevelset
evolution andestimationoflocalintensitymeansandvariancesinaniterativeprocess.
The meansandvariancesoflocalintensitiesareconsideredasspatiallyvarying
functionstohandleintensityinhomogeneitiesandnoiseofspatiallyvaryingstrength
(e.g. multiplicativenoise).Inaddition,ourmodelisabletodistinguishregionswith
similarintensitymeansbutdifferentvariances.Thisisdemonstratedbyapplyingour
methodonnoisyandtextureimagesinwhichthetexturepatternsofdifferentregions
can bedistinguishedfromthelocalintensityvariance.Comparativeexperimentsshow
the advantagesofth