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1、張萍電子科技大學(xué)光電信息學(xué)院E-mail:pingzh@uestc.edu.cnImageEnhancementContraststretchingImageEnhancementDenoisingforlowDenoisingforlow-lightimagelightimageImageEnhancementSharpeningforcircuitboardSharpeningforcircuitboardTypesofImageEnhancementintheSpatialDomain￠Single
2、pixelmethods-GrayleveltransformationsExample-Historggqramequalization-Contraststretching-Arithmetic/logicoperationsExamples-Imagesubtraction-Imageaveraging￠MultiplepixelmethodsMultiplepixelmethodsExamples:Spatialfiltering-Smoothingfilters-Sharpeningfilter
3、sWhatisspatialdomain?Thespacewhereallpixelsformanimage.Inspatialdomainwecanrepresentanimagebyf(x,y),wherexandyarecoordinatesalongxandyaxiswithrespecttoanyarecoordinatesalongxandyaxiswithrespecttoanorigin.ThereisdualitybetweenThereisdualitybetweenSpatialan
4、dSpatialandFrequencyDomainsFrequencyDomains.UsingtheFourierImaggpesinthespatialtfttransform,thhdeworddomainarepicturesinthe“distance”islostbutthex,yplanewherethewordword“frequency”“distance””iismeaningfflul.becomesalive.Whatisspatialdomain?FourierFouriert
5、ransformFouriertransformSpatialdomainFdFrequencydomaiinOutline?Background?SomeBasicIntensityTransformationFunctions?HistogramProcessing?FundamentalsofSpatialFiltering?SmoothingSpatialFilters?SharpeningSpatialFiltersSharpeningSpatialFilters?CombiningSpatia
6、lEnhancementMethods?UiFUsingFuzzyTThiechniques*3.1BackgroundAgendaF1.TheBasicsofIntensityTransformationsandSpatialFilteringF2.AbouttheExamplesinThisChapter3.1BackgroundImageenhancementsingprocessesperformedintheImageenhancementusingprocessesperformedinthe
7、SpatialdomainresultinginimagesintheSpatialdomain.WecanwrittenasWecanwrittenasggy(,)xy=T[ffy(,)xy]wheref()(x,y)iisanoriiilginaliimage,g(()x,y)iisanoutttdputandT[.]isafunctiondefinedintheareaaround(x,y).3.1Backgroundg(,)xy=T[f(,)xy]3.1BackgroundTransformsin
8、tensityofanoriginalimageintointensityofanoutputimageusingafunction:outputimageusingafunction:sTr=()wherer=inputintensityands=outputintensityOutline?Background?SomeBasicIntensityTransformationFunctions?HistogramProce
