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1、HybridGeneticAlgorithmBasedImageEnhancementTechnologyAbstract:Inimageenhancement,TubbsproposedanormalizedincompleteBetafunctiontorepresentseveralkindsofcommonlyusednon-lineartransformfunctionstodotheresearchonimageenhancement.Buthowtodefinethecoefficientsofthe
2、Betafunctionisstillaproblem.WeproposedaHybridGeneticAlgorithmwhichcombinestheDifferentialEvolutiontotheGeneticAlgorithmintheimageenhancementprocessandutilizethequicklysearchingabilityofthealgorithmtocarryouttheadaptivemutationandsearches.FinallyweusetheSimulat
3、ionexperimenttoprovetheeffectivenessofthemethod.Keywords:Imageenhancement;HybridGeneticAlgorithm;adaptiveenhancementI.INTRODUCTIONIntheimageformation,transferorconversionprocess,duetootherobjectivefactorssuchassystemnoise,inadequateorexcessiveexposure,relative
4、motionandsotheimpactwillgettheimageoftenadifferencebetweentheoriginalimage(referredtoasdegradedordegraded)Degradedimageisusuallyblurredoraftertheextractionofinformationthroughthemachinetoreduceorevenwrong,itmusttakesomemeasuresforitsimprovement.Imageenhancemen
5、ttechnologyisproposedinthissense,andthepurposeistoimprovetheimagequality.FuzzyImageEnhancementsituationaccordingtotheimageusingavarietyofspecialtechnicalhighlightssomeoftheinformationintheimage,reduceoreliminatetheirrelevantinformation,toemphasizetheimageofthe
6、wholeorthepurposeoflocalfeatures.Imageenhancementmethodisstillnounifiedtheory,imageenhancementtechniquescanbedividedintothreecategories:pointoperations,andspatialfrequencyenhancementmethodsEnhancementAct.Thispaperpresentsanautomaticadjustmentaccordingtotheimag
7、echaracteristicsofadaptiveimageenhancementmethodthatcalledhybridgeneticalgorithm.Itcombinesthedifferentialevolutionalgorithmofadaptivesearchcapabilities,automaticallydeterminesthetransformationfunctionoftheparametervaluesinordertoachieveadaptiveimageenhancemen
8、t.II.IMAGEENHANCEMENTTECHNOLOGYImageenhancementreferstosomefeaturesoftheimage,suchascontour,contrast,emphasisorhighlightedges,etc.,inordertofacilitatedetectionorfurtheranalysisandp
