Active contours driven by local Gaussian distribution fitting energy
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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
文 件 列 表
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Active contours driven by local Gaussian distribution fitting energy.pdf
ChanVese1.jpg
ChanVese11.jpg
cq391.jpg
Demo_LGD_1.m
Demo_LGD_2.m
Demo_LGD_3.m
Demo_LGD_4.m
Demo_LGD_5.m
evolution_LGD.m
liver.tif
lv1.JPG
mri_nonuniform.bmp
nn.png
two.jpg
zebra.jpg
灰度不均.jpg
