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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:Theauth
2、orspresentanefficienttwo-stageapproachforleafimageretrievalbyusingsimpleshapefeaturesincludingcentroid-contourdistance(CCD)curve,eccentricityandanglecodehistogram(ACH).Inthefirststage,theimagesthataredissimilarwiththequeryimagewillbefirstfilteredoutb
3、yusingecccutricicytoreducethesearchspace,andfineretrievalwillfollowbyusingallthreesetsoffeaturesinthereducedsearchspaceinthesecondstage.DifferentfromeccentricityandACH,theCCDcurveisneitherscaling-invariantnorrotation-invariant.Therefore,normalisation
4、isrequiredfortheCCDcurvetoachievescalinginvariance,andstartingpointlocationisrequiredtoachieverotationinvariancewiththesimilaritymeasureofCCDcurves.Athinning-basedmethodisproposedtolocatestartingpointsofleafimagecontours,sothattheapproachusedismoreco
5、mputationallyefficient.Actually,themethodcanbenefitothershaperepresentationsthataresensitivetostartingpointsbyreducingthematchingtimeinimagerecognitionandretrieval.Experimentalresultson1400leafimagesfrom140plantsshowthattheproposedapproachcanachievea
6、betterretrievalperformancethanboththecurvaturescalespace(CSS)methodandthemodifiedFourierdescriptor(MFD)method.Inaddition,thetwostageapproachcanachieveaperformancecomparabletoanexhaustivesearch,butwithamuchreducedcomputationalcomplexity.1IntroductionP
7、lantidentificationisaprocessresultingintheassignmentofeachindividualplanttoadescendingseriesofrelatedplantgroupsinternisoftheircommoncharacteristics.Suchataskisverydemandinginbiologyandagriculture,suchasforthediscoveryofnewspecies,plantresourcesurvey
8、sandplantspeciesdatabasemanagement.Sofar,thistime-consumingprocesshasmainlybeencarriedoutbybotanists.Asignificantimprovementcanbeexpectediftheplantidentificationcanbecarriedoutbyacomputer,automaticallyorsemautomatically,assistedbyimageprocessingandco
