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Active contours driven by local Gaussian distribution fitting energy

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  • 上传时间:2021-06-30
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资 源 简 介

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

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Active contours driven by local Gaussian distribution fitting energy.pdf
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Demo_LGD_1.m
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evolution_LGD.m
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