Image Fusion Using Wavelets

Image Fusion Using Wavelets

ID:40385695

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页数:135页

时间:2019-08-01

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1、CranfieldUniversityRenaudSirdeyImageFusionUsingWaveletsSchoolofMechanicalEngineeringMScThesisCranfieldUniversitySchoolofMechanicalEngineeringAppliedMathematicsandComputingGroupMScThesisAcademicYear1997-98RenaudSirdeyImageFusionUsingWaveletsSupervisor:D.A.FishSeptember1998Thisthe

2、sisissubmittedinpartialfulfilmentoftherequirementsforthedegreeofMasterofScienceImagefusionusingwavelets1997/98AbstractThisthesisdealswiththeproblemofimagefusion,withapplicationtonightvi-sionsystemsforthecarindustry.Roughlyspeaking,animagefusionprocedureintendstoproduceasingleim

3、agefromasetofimageshavingdifferentcharac-teristicsandprovidingcomplementaryinformation.Becauseoftheapplication,thisworkmainlyfocusesonmultisensorimagefusion,andmostoftheexperi-mentalresultsareprovidedonnearandfarinfrareddata.Themainpurposeofthisthesisistoexploretherelevancyofus

4、ingwavelet-basedalgorithmsforperforminganimagefusiontask.Inthefirstchapter,wedealwiththeregistra-tionproblem,whichis,mostofthetime,arequiredpreprocessingtask.Inthesecondchapter,webrieflyintroducethewavelettheory.Thethirdandfourthchaptersarethendevotedtoimagefusion:thethirdchapte

5、rdealswiththeuseoforthogonalwaveletdecompositionsforperformingthefusiontaskandpresentssomeexperimentalresults,whilethefourthonestudies,onatheoreticalpointofview,thefeasibilityofafeature-basedimagefusionprocedureusingthewaveletmaximarepresentation.1RenaudSirdeyCettepagen’estplu

6、sblanchepuisquecetexteyfigure!“Icanrememberwhentherewasn’tanautomobileintheworldwithbrainsenoughtofinditsownwayhome.Ichauffeureddeadlumpsofmachinesthatneededaman’shandattheircontroleveryminutes.Everyyearmachineslikethatusedtokilltensofthousandsofpeople.Theautomaticsfixedthat.Aposi

7、tronicbraincanreactmuchfasterthanahumanone,ofcourse,anditpaidpeopletokeephandsoffthecontrols.Yougotin,punchedyourdestinationandletitgoitsownway.”IsaacAsimov[1].1997/98RenaudSirdey4Imagefusionusingwavelets1997/98ContentsAcknowledgements9Introduction111Imageregistrationinpresence

8、ofnon-lineardistortion131.1Asimple(distortion-free)cameramode

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