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1、遼寧師范大學(xué)碩士學(xué)位論文(3)OnthebasisoftheprobabilityruleoftheShearletcoefficients,thispeppercontinuousstatisticsthejointstatisticalproperritiesofthenonsubsampledShearlettransformcoefficients,itanalyzestheShearletcoefficientshavethesimilaritystatisticalcharacteristicwitht
2、hewaveletcoefficientsandContourletcoefficients,thatispersistenceandaggregation.AndthenestablishesthenonsubsampledShearlettransformdomainhiddenMarkovmodel,thismodelconsidersthecoefficientdependencyatthesamescaleaswellasthefather-childrencoefficientdependencyatt
3、hedifferentscales.Thismodelobtainstheagoodeffectintheimagedenoising.KeyWords：ShearletTransform；Vector-valuedC-VModel；GaussianMixtureModel；HiddenMarkovTreeModel；ImageSegmentation；ImageEdgeDetectionIII萬(wàn)方數(shù)據(jù)基于Shearlet變換的圖像分割與邊緣檢測(cè)研究目錄摘要.............................
4、................................................................................................IAbstract.....................................................................................................................................II1緒論.................
5、........................................................................................................................11.1研究的背景和意義...................................................................................................11.2本論文涉及的圖像處理內(nèi)容.............
6、........................................................................21.2.1圖像分割技術(shù)..................................................................................................21.2.2圖像邊緣檢測(cè)技術(shù)................................................................
7、..........................41.2.3圖像去噪技術(shù)..................................................................................................51.3圖像處理中變換域方法的發(fā)展簡(jiǎn)述..........................................................................61.4文章結(jié)構(gòu).......................
8、..............................................................................................92Shearlet變換的數(shù)學(xué)理論.....................................................................
