基于混合遗传算法的图像增强技术大学毕业论文外文文献翻译及原文Word下载.docx
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文献、资料中文题目:
1.基于混合遗传算法的图像增强技术
2.数字图像处理在铸件表面粗糙度测量中的应用
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2017.02.14
HybridGeneticAlgorithmBasedImageEnhancement
Technology
MuDongzhouDepartmentoftheInformationEngineeringXuZhouCollegeofIndustrialTechnology
XuZhou,Chinamudzh@
XuChaoandGeHongmeiDepartmentoftheInformationEngineeringXuZhouCollegeofIndustrialTechnology
XuZhou,Chinaxuch@,gehm@
Abstract—inimageenhancement,TubbsproposedanormalizedincompleteBetafunctiontorepresentseveralkindsofcommonlyusednon-lineartransformfunctionstodotheresearchonimageenhancement.ButhowtodefinethecoefficientsoftheBetafunctionisstillaproblem.WeproposedaHybridGeneticAlgorithmwhichcombinestheDifferentialEvolutiontotheGeneticAlgorithmintheimageenhancementprocessandutilizethequicklysearchingabilityofthealgorithmtocarryouttheadaptivemutationandsearches.FinallyweusetheSimulationexperimenttoprovetheeffectivenessofthemethod.
Keywords-Imageenhancement;
HybridGeneticAlgorithm;
adaptiveenhancement
I.INTRODUCTION
Intheimageformation,transferorconversionprocess,duetootherobjectivefactorssuchassystemnoise,inadequateorexcessiveexposure,relativemotionandsotheimpactwillgettheimageoftenadifferencebetweentheoriginalimage(referredtoasdegradedordegraded)Degradedimageisusuallyblurredoraftertheextractionofinformationthroughthemachinetoreduceorevenwrong,itmusttakesomemeasuresforitsimprovement.
Imageenhancementtechnologyisproposedinthissense,andthepurposeistoimprovetheimagequality.FuzzyImageEnhancementsituationaccordingtotheimageusingavarietyofspecialtechnicalhighlightssomeoftheinformationintheimage,reduceoreliminatetheirrelevantinformation,toemphasizetheimageofthewholeorthepurposeoflocalfeatures.Imageenhancementmethodisstillnounifiedtheory,imageenhancementtechniquescanbedividedintothreecategories:
pointoperations,andspatialfrequencyenhancementmethodsEnhancementAct.Thispaperpresentsanautomaticadjustmentaccordingtotheimagecharacteristicsofadaptiveimageenhancementmethodthatcalledhybridgeneticalgorithm.Itcombinesthedifferentialevolutionalgorithmofadaptivesearchcapabilities,automaticallydeterminesthetransformationfunctionoftheparametervaluesinordertoachieveadaptiveimageenhancement.
II.IMAGEENHANCEMENTTECHNOLOGY
Imageenhancementreferstosomefeaturesoftheimage,suchascontour,contrast,emphasisorhighlightedges,etc.,inordertofacilitatedetectionorfurtheranalysisandprocessing.Enhancementswillnotincreasetheinformationintheimagedata,butwillchoosetheappropriatefeaturesoftheexpansionofdynamicrange,makingthesefeaturesmoreeasilydetectedoridentified,forthedetectionandtreatmentfollow-upanalysisandlayagoodfoundation.
Imageenhancementmethodconsistsofpointoperations,spatialfiltering,andfrequencydomainfilteringcategories.Pointoperations,includingcontraststretching,histogrammodeling,andlimitingnoiseandimagesubtractiontechniques.Spatialfilterincludinglow-passfiltering,medianfiltering,highpassfilter(imagesharpening).Frequencyfilterincludinghomomorphismfiltering,multi-scalemulti-resolutionimageenhancementapplied[1].
III.DIFFERENTIALEVOLUTIONALGORITHM
DifferentialEvolution(DE)wasfirstproposedbyPriceandStorn,andwithotherevolutionaryalgorithmsarecompared,DEalgorithmhasastrongspatialsearchcapability,andeasytoimplement,easytounderstand.DEalgorithmisanovelsearchalgorithm,itisfirstinthesearchspacerandomlygeneratestheinitialpopulationandthencalculatethedifferencebetweenanytwomembersofthevector,andthedifferenceisaddedtothethirdmemberofthevector,bywhichMethodtoformanewindividual.Ifyoufindthatthefitnessofnewindividualmembersbetterthantheoriginal,thenreplacetheoriginalwiththeformationofindividualself.
TheoperationofDEisthesameasgeneticalgorithm,anditconcludemutation,crossoverandselection,butthemethodsaredifferent.WesupposethatthegroupsizeisP,thevectordimensionisD,andwecanexpresstheobjectvectoras
(1):
xi=[xi1,xi2,…,xiD](i=1,…,P)
(1)
Andthemutationvectorcanbeexpressedas
(2):
i=1,...,P
(2)
,arethreerandomlyselectedindividualsfromgroup,andr1r2r3i.Fisarangeof[0,2]betweentheactualtypeconstantfactordifferencevectorisusedtocontroltheinfluence,commonlyreferredtoasscalingfactor.Clearlythedifferencebetweenthevectorandthesmallerthedisturbancealsosmaller,whichmeansthatifgroupscloseto