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1、ComputerScienceandApplication計(jì)算機(jī)科學(xué)與應(yīng)用,2016,6(2),94-101PublishedOnlineFebruary2016inHans.http://www.hanspub.org/journal/csahttp://dx.doi.org/10.12677/csa.2016.62012DynamicObjectDetectioninImageMosaicBasedonAlgebraicMultigridXicunGu1,YingHuang21InstituteofComputerScienceandTechnology,Chongq
2、ingUniversityofPostandTelecommunication,Chongqing2SchoolofSoftwareEngineering,ChongqingUniversityofPostandTelecommunication,ChongqingthrdthReceived:Feb.4,2016;accepted:Feb.23,2016;published:Feb.26,2016Copyright?2016byauthorsandHansPublishersInc.ThisworkislicensedundertheCreativeCommonsAtt
3、ributionInternationalLicense(CCBY).http://creativecommons.org/licenses/by/4.0/AbstractThemovingtargetsappearinginimagemosaicmaycauseresultsoftheabnormalsplicingormul-tipleimagesofthesameobjectappearingintheresultimage.Thispaperpresentsamethodofde-tectionofmovingtargetinimagemosaic,soastor
4、emovetheeffectofmovingtargetsintheimagemosaic.Multi-sceneimagescollectedshouldbesplicedfirstly.Ifthespliceprocedurecannotbeprocessednormally,algebraicmultigrid(AMG)methodshouldbeappliedtotheoriginalimage.ThedataofthemultilayeredcoarselevelareextractedtoreconstructtheimagewithAMGmethod.The
5、n,backgroundsubtractionmethodisutilizedtodetectmovingtargetstoeliminatetheinter-ferenceofmovingobjects.Ifmultipleimagesappearinthesplicingprocess,theabovementionedprocedureisemployedtoextractthemovingtargets,andtoanalyzethetrajectoryofmovingob-jects.Experimentalresultsshowthatthemethodint
6、hispaperhasstrongrobustness,anditcaneffectivelyremoveinterferenceofnoiseanddetectmovingtargetsaccurately.KeywordsImageMosaic,AlgebraicMultigrid,BackgroundSubtractionMethod,MovingTargetDetection基于代數(shù)多重網(wǎng)格的圖像拼接中動(dòng)態(tài)目標(biāo)的檢測(cè)12顧西存,黃穎1重慶郵電大學(xué)計(jì)算機(jī)科學(xué)與技術(shù)學(xué)院,重慶文章引用:顧西存,黃穎.基于代數(shù)多重網(wǎng)格的圖像拼接中動(dòng)態(tài)目標(biāo)的檢測(cè)[J].計(jì)算機(jī)科學(xué)與應(yīng)用,2
7、016,6(2):94-101.http://dx.doi.org/10.12677/csa.2016.62012顧西存,黃穎2重慶郵電大學(xué)軟件工程學(xué)院,重慶收稿日期:2016年2月4日;錄用日期:2016年2月23日;發(fā)布日期:2016年2月26日摘要圖像拼接中出現(xiàn)的運(yùn)動(dòng)目標(biāo)可能使拼接出現(xiàn)不能正常拼接或者拼接出多重影像的現(xiàn)象。本文提出一種圖像拼接的運(yùn)動(dòng)目標(biāo)檢測(cè)方法,去除運(yùn)動(dòng)目標(biāo)對(duì)圖像拼接的影響。首先將采集的多場景圖像進(jìn)行拼接,如果不能正常拼接,則利用代數(shù)多重網(wǎng)格(AMG)方法對(duì)原始圖像進(jìn)行處理,得到重構(gòu)的多層網(wǎng)格圖像,在此基