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1、外文翻译毕业设计题目：植物叶片的形状特征提取及分类研究原文1：Shapebasedleafimageretrieval译文1：基于形状的叶片图像检索原文2：Featureextractionandautomaticrecognitionofplantleafusingartificialneuralnetwork译文2：利用人工神经网络实现植物叶片的特征提取与自动识别ShapebasedleafimageretrievalZ.Wang,Z.ChiandD.FengAbstract:Theauthorspres
2、cntanefficienttwo-stageapproachforleafimageretrievalbyusingsimpleshapefeaturesincludingcentroid-contourdistance(CCD)curve,eccentricityandanglecodehistogram(ACH).Inthcfirststage,theimagesthataredissimilarwiththequeryimagewillbefirstfiltcredoutbyusingecccutri
3、cicytoreducethesearchspace,andfineretrievalwillfollowbyusingallthreesetsoffeaturesinthereducedsearchspaceinthesecondstage.DifferentfromeccentricityandACH,theCCDcurveisncitherscaling-invariantnorrotation-invariant.Therefore,normalisationisrequiredfortheCCDcu
4、rvetoachievescalinginvariance,andstartingpointlocationisrequiredtoachieverotationinvariancewiththesimilaritymeasureofCCDcurves.Athinning-basedmethodisproposedtolocatestartingpointsofleafimagecontours,sothattheapproachusedismorecomputationallycfficient.Actua
5、lly,themethodcanbencfitothershaperepresentationsthataresensitivetostartingpointsbyreducingthematchingtimcinimagerecognitionandretrieval.Experimentalresultson1400leafimagesfrom140plantsshowthattheproposedapproachcanachieveabetterretrievalperformancethanbotht
6、hecurvaturescalespace(CSS)methodandthemodifiedFourierdescriptor(MFD)method.Inaddition,thetwostageapproachcanachieveaperformancecomparabletoanexhaustivesearch,butwithamuchreducedcomputationalcomplexity.1IntroductionPlantidentificationisaprocessresultinginthe
7、assignmentofeachindividualplanttoadescendingseriesofrelatedplantgroupsinternisoftheircommoncharacteristics.Suchataskisverydemandinginbiologyandagriculture,suchasforthediscoveryofnewspecies,plantresourcesurveysandplantspeciesdatabasemanagement.Sofar,thistime
8、-consumingprocesshasmainlybeencarriedoutbybotanists.Asignificantimprovementcanbeexpectediftheplantidentificationcanbecarriedoutbyacomputer,automaticallyorsemautomatically,assistedbyimageprocessingandco
