《圖像分割問題探究的國內(nèi)外文獻綜述》5800字

圖像分割問題研究的國內(nèi)外文獻綜述目錄TOC\o"1-2"\h\u8365圖像分割問題研究的國內(nèi)外文獻綜述 [67]則提供了另一種解決小樣本圖像分割任務的思路，采用掩碼化的平均池化方法來提取支撐圖像中目標的特征向量，并用余弦相似度來度量查詢圖像和支撐圖像間特征向量的的距離，用于指導查詢圖像的分割，但是這種方式僅僅考慮了支撐圖像和查詢圖像間的全局特征相似性，而沒有考慮局部特征相似性的影響，這在分割過程中可能會產(chǎn)生精度不夠的問題。參考文獻曹正鳳,李少丁,王棟梁,徐建波,劉晗,卓晴.基于深度學習的端到端車牌檢測識別系統(tǒng)[J].中國交通信息化,2018(9):88-91.KellyP,ConnorN,SmeatonA.Robustpedestriandetectionandtrackingincrowdedscenes[J].ImageandVisionComputing,2009,27(10):1445-1458.AnF,LiuJ,WangJ.Medicalimagesegmentationalgorithmbasedonpositivescalinginvariant-selfencodingCCA[J].BiomedicalSignalProcessingandControl,2021,66:102395.MittalH,SaraswatM.Anoptimummulti-levelimagethresholdingsegmentationusingnon-localmeans2DhistogramandexponentialKbestgravitationalsearchalgorithm[J].EngineeringApplicationsofArtificialIntelligence,2018,71:226-235.黃鵬,鄭淇,梁超.圖像分割方法綜述[J].武漢大學學報(理學版),2020,66(6):519-531.ParkH,JunC.Asimpleandfastalgorithmfork-medoidsclustering[J].Expertsystemswithapplications,2009,36(2):3336-3341.雍玉潔,顧華.基于空間聚類和邊緣梯度的圖像分割算法[J].計算機與現(xiàn)代化,2021(2):13-17.LongJ,ShelhamerE,DarrellT.Fullyconvolutionalnetworksforsemanticsegmentation[C].ProceedingsoftheIEEEConferenceonComputerVisionandPatternRecognition,2015:3431-3440.趙凱琳,靳小龍,王元卓.小樣本學習研究綜述[J].軟件學報,2021,32(2):349-369.QianR,HuangT.Optimaledgedetectionintwo-dimensionalimages[J].ProceedingsoftheIEEETransactionsonImageProcessing,1996,5(7):1215-1220.WeiS,YangL,ChenZ,etal.Motiondetectionbasedonopticalflowandself-adaptivethresholdsegmentation[J].ProcediaEngineering,2011,15:3471-3476.談國軍,戎皓.基于二維最大熵閾值圖像分割技術(shù)的改進方法[J].軟件導刊,2008,2(1):3-4.MillerR.Singleimagewinnerflowers/Plants/Fruits[J].Black&WhiteMagazine,2014,105:24-24.PrewittJMS.Objectenhancementandextraction[J].PictureProcessingandPsychopictorics,1970,10(1):15-19.BochkarevAO,GrekovMA.Influenceofsurfacestressesonthenanoplatestiffnessandstabilityinthekirschproblem[J].PhysicalMesomechanics,2019,22(3):209-223.GómezP,UribeFA.ThenumericalLaplacetransform:Anaccuratetechniqueforanalyzingelectromagnetictransientsonpowersystemdevices[J].InternationalJournalofElectricalPower&EnergySystems,2009,31(2-3):116-123.YiJ,RaJB.Alocallyadaptiveregiongrowingalgorithmforvascularsegmentation[J].InternationalJournalofImagingSystemsandTechnology,2003,13(4):208-214.胡學剛,段瑤.基于FCM聚類的自適應彩色圖像分割算法[J].計算機工程與設計,2018,39(7):1984-1989.LevnerI,ZhangH.Classification-drivenwatershedsegmentation[J].ProceedingsoftheIEEETransactionsonImageProcessing,2007,16(5):1437-1445.RezvanifarA,KhosravifardM.Includingthesizeofregionsinimagesegmentationbyregion-basedgraph[J].ProceedingsoftheIEEETransactionsonImageProcessing,2013,23(2):635-644.LiH,XiongP,AnJ,etal.Pyramidattentionnetworkforsemanticsegmentation[J].arXivpreprintarXiv:1805.10180,2018.PalNR,BezdekJC.Onclustervalidityforthefuzzyc-meansmodel[J].ProceedingsoftheIEEETransactionsonFuzzySystems,2002,3(3):370-379.張愛華,譚勁.邊緣信息指導下的半模糊聚類圖像分割方法[J].華中科技大學學報(自然科學版),2005(6):8-11.RonnebergerO,FischerP,BroxT.U-net:Convolutionalnetworksforbiomedicalimagesegmentation[C].InternationalConferenceonMedicalImageComputingandComputerAssistedIntervention.Springer,Cham,2015:234-241.ChenLC,PapandreouG,KokkinosI,etal.Semanticimagesegmentationwithdeepconvolutionalnetsandfullyconnectedcrfs[J].arXivpreprintarXiv:1412.7062,2014.ChenLC,PapandreouG,KokkinosI,etal.Deeplab:Semanticimagesegmentationwithdeepconvolutionalnets,atrousconvolution,andfullyconnectedcrfs[J].ProceedingsoftheIEEETransactionsonPatternAnalysisandMachineIntelligence,2017,40(4):834-848.ChenLC,PapandreouG,SchroffF,etal.Rethinkingatrousconvolutionforsemanticimagesegmentation[J].arXivpreprintarXiv:1706.05587,2017.ChenLC,ZhuY,PapandreouG,etal.Encoder-decoderwithatrousseparableconvolutionforsemanticimagesegmentation[C].ProceedingsoftheEuropeanConferenceonComputerVision.2018:801-818.KochG,ZemelR,SalakhutdinovR.Siameseneuralnetworksforone-shotimagerecognition[C].ProceedingsoftheICMLDeepLearningWorkshop,Vol.2,2015.BromleyJ,BentzJW,BottouL,etal.Signatureverificationusinga“siamese”timedelayneuralnetwork[J].ProceedingsoftheInternationalJournalofPatternRecognitionandArtificialIntelligence,1993,7(4):669-688.VinyalsO,BlundellC,LillicrapT,etal.Matchingnetworksforoneshotlearning[J].arXivpreprintarXiv:1606.04080,2016.SnellJ,SwerskyK,ZemelRS.Prototypicalnetworksforfew-shotlearning[J].arXivpreprintarXiv:1703.05175,2017.ShabanA,BansalS,LiuZ,etal.One-shotlearningforsemanticsegmentation[J].arXivpreprintarXiv:1709.03410,2017.RakellyK,ShelhamerE,DarrellT,etal.Conditio