lec4 Intensity Transformations and Spatial Filtering (II)

lec4 Intensity Transformations and Spatial Filtering (II)

ID:40636488

大小:4.58 MB

页数:46页

时间:2019-08-05

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1、ImageAnalysisandComputerVisionLecture4!ImageEnhencementinSpatialFiltering(II)WeiqiangWangSchoolofInformationScienceandEngineering,GUCASSeptember19,2010W.Q.Wang(SISE,GUCAS)ImageAnalysisandComputerVisionSeptember19,20101/44Outline1HistogramProcessingandFunc

2、tionPlotting2SpatialFiltering3StandardSpatialFiltersinImageProcessingToolboxW.Q.Wang(SISE,GUCAS)ImageAnalysisandComputerVisionSeptember19,20102/44Outline1HistogramProcessingandFunctionPlotting2SpatialFiltering3StandardSpatialFiltersinImageProcessingToolbo

3、xW.Q.Wang(SISE,GUCAS)ImageAnalysisandComputerVisionSeptember19,20102/44Outline1HistogramProcessingandFunctionPlotting2SpatialFiltering3StandardSpatialFiltersinImageProcessingToolboxW.Q.Wang(SISE,GUCAS)ImageAnalysisandComputerVisionSeptember19,20102/44Hist

4、ogramProcessingandFunctionPlottingHistogramMatchingHistogrammatchingissimilartohistogramequalization,exceptthatinsteadoftryingtomaketheoutputimagehavea athistogram,wewouldlikeittohaveahistogramofaspeci edshape.Considerforamomentcontinuouslevelsthatarenorm

5、alizedtotheinterval[0,1],andletrandzdenotetheintensitylevelsoftheinputandoutputimages.Theinputlevelshaveprobabilitydensityfunctionpr(r)andtheoutputlevelshavethespeci edprobabilitydensityfunctionpz(z).W.Q.Wang(SISE,GUCAS)ImageAnalysisandComputerVisionSepte

6、mber19,20103/44HistogramProcessingandFunctionPlottingHistogramMatchingWeknowfromthediscussionintheprevioussectionthatthetransformation:Zrs=T(r)=pr(w)dw0resultinaidealequalizedhistogramps(s).Supposenowwede neavariablezwiththepropertyZzH(z)=pz(w)dw=s0Fromth

7、eprecedingtwoequations,itfollowsthatz=H1(s)=H1(T(r));Wecan ndT(r)fromtheinputimage(thisisthehistogramequalizationtransformation),soitfollowsthatwecanusetheprecedingequationto ndthetransformedlevelszwhosePDFisthespeci edpz(z)aslongaswecan ndH1.W.Q.Wang(

8、SISE,GUCAS)ImageAnalysisandComputerVisionSeptember19,20104/44HistogramProcessingandFunctionPlottingHistogramMatchingThetoolboximplementshistogrammatchingusingthefollowingsyntaxinhisteq:g=histeq(f,hspec)wherefisthein

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