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1、河北工业大学硕士学位论文公路图像拼接的算法研究姓名：孙荣艳申请学位级别：硕士专业：模式识别与智能系统指导教师：顾军华20081101公路图像拼接的算法研究ALGORITHMRESEARCHOFTHEHIGHWAYIMAGEMOSAICABSTRACTImagemosaicisatechnologythatcarriesonthespatialmatchingtoaseriesofimageswhichareoverlappedwitheachother,andfinallybuildsaseamlessandhighqualityimagewhichhashighresolutionandb
2、igeyeshotcomparedwithasingleimage.Imagemosaicisanimportantresearchingfieldofimageprocessing,andhaswidelyapplicationsinthefieldsofphotogrammetry,computervision,remotesensingimageprocessing,medicalimageanalysis,computergraphicandsoon.Becausethecharacteroftheroadimagesiscomplexandunobvious,thisarticle
3、hasbeengivenaspecialmethodofimagemosaic.Thethesisfirstintroducesthepresentresearchstatusofthetechnologyofimagemosaic,thushasdemonstratedthebroadapplicationprospectofthetechnologyofimagemosaic.Thenthethesisdiscussesthebasicstepsofimagemosaic,imageacquisitionmethodsandmodelsofimagemosaic.Moreover,itr
4、esearcheswithemphasisinthetwocoretechnologyofimagemosaic,whicharethetechnologyoftheimageregistrationandtheimagefusion.Theexistingmethodsofimageregistrationandimagefusionareintroduced,andtheirperformanceaswellastheexistingproblemsisanalyzed・Accordingtothecharacteristicsofroadimage,theroadimageswould
5、bedividedintodamagedandundamagedimages.Eachtypeisgivenadifferentmethodofsplicing.Theimagesofdamagedroadscontainsalotoffeatures:First,imagesarestratifiedbytheGaussianpyramid;second,theneachlevelisdetectedfeaturepointsbytheHarrisalgorithm;third,thefeaturepointsaredividedbytheFCMclustering;finally,the
6、imagesaremosaicbycorrelationcoefficientandarefusedbytheWeightedcoefficients・Theundamagedimagescontainfewcharacteristicinformation.First,imagesaredetectededgesbythealgorithmofSUSAN;second,theimagesareenhancededgeinformationandremovedthenoisebythemorphologymethods;third,theimagesareblockedbytheedges;
7、forth,theimagesaredetectedthefeaturesthroughtheartificialfishalgorithm;finally,theimagesarestitchedbycorrelationcoefficientandarefusedbytheWeightedcoefficients・Bothalgorithmstakefulladvantageoftheinterestpo
