简介：InterferometricSyntheticApertureRadar(InSAR)allowsproductionofhighresolutionDEManddetectionofsmallearthmotionsusingmultiplepassSARdatasetsobtainedbyremotesensingsatellite.ButthewholeprocesshasnotyetreachedsufficientrobustnesstowarrantautomatedDEMproductionascommonlyproducedbystereovisionwithopticalimages.TheautomaticalgorithmforprecisionregistrationisoneofthebottlenecksinInSARdataprocessing.Inthispaper,anautomaticapproachwithmulti-stepimagematchingalgorithmispresented.Allproceduresareautomaticallyimplemented.TheexperimentiscarriedoutsuccessfullywithSIR-C/L-bandInSARdata.Thetriangularpiecewiserectificationisalsoadvancedinreducinglocaldistortionbetweentheimagesandprocessingthelargesceneimage.Theprimaryresulthasprospectintheprecisionregistrationfortherepeat-trackInSARdataandrevealsthepotentialofthepresentedautomaticstrategy.

简介：

简介：<正>QUESTION:I’mtheCEOofaforeigncorporation,ourcompanywanttosetupaChinese-foreignjointventureinChinesethisyear.Buttothisday,wedon’tknowhowtohandletheproceduresoftheregistrationfortaxationofourjointventure.Pleasetellusthedetails;we’llbeextremelygratefultoyourhelp.

简介：客观:等待的病人预定设计一个软件在平淡的内部放射性核种照耀治疗自动地做复杂、多重的计算避免错误并且弄短。方法:软件在MicrosoftWindowsXP操作系统上被设计。可视化Basic5.0和微软存取2000分别地被用作这里的程序语言和数据库系统。数据和DBGrid控制和可视化Basic的VB数据窗户指南习惯于的控制存取和存取数据库。结果：任何放射性核种的放射性能不仅是计算的，而且为甲状腺机能亢进或甲状腺癌症和总数的治疗的管理的全部的碘剂量为恶意的肿瘤的骨头转移的补救管理153个Sm-EDTMP答案能在外面是ciphered。结论：当软件能自动地做复杂、多重的计算时，工作变得更容易、更快、更正确、有趣。病人的信息，诊断和治疗能为进一步的学习被记录。

简介：Underthecomprehensivedeepeningreformandpromotingnewurbanization,Chinalaunchedanewroundofreformofhouseholdregistrationsystem.Reformhasamajorbreakthroughinfiveareas:toimplementnewurbanizationstrategyofhuman-centric,toachieveequalizationofbasicpublicservicesgradually,tobreakuplandrightsandruralmigrants,toprovideprotectionforfamilymigrants,andtoincreasefinancialsupportbygovernments.Butthereformstillfacesmanydifficulties,howtodeterminetheconditionssettledbycitysizeisdifficulttoimplementeffectively,financialtransferpaymentsystemreformisfacingenormousdifficulties,aswellasthesizeoftheurbanpopulationisdifficulttodetermineetc.

简介：Thispaperintroducesarobustglobalnonlinearoptimizer-differentialevolution(DE),whichisasimpleevolutionalgorithmtosearchforanoptimaltransformationthatmakesthebestalignmentoftwosetsoffeaturepoints.TomaptheproblemofmatchingintotheframeworkofDE,theobjectivefunctionisproportionaltotheregistrationerrorwhichismeasuredbyHausdorffdistance,whiletheparametersoftransformationareencodedinfloating-pointasthefunctionalvariables.ThreeterminationcriteriaareproposedforDE.Asimulationof2-dimensionalpointsetsandasimilaritytransformationarepresentedtocomparetherobustnessandconvergencepropertiesofDEwithgeneticalgorithm's(GA).AndtheregistrationofanobjectanditscontourmodelhavebeendemonstratedbyusingofDEtonaturalimages.

简介：为在散开张肌图象的登记产生的一个变化问题的全球minimizer的存在被证明，它保证为散开张肌图象的登记有常规空间转变。

简介：

简介：ＣｈｉｎａＨａｓａＰｏｐｕｌａｔｉｏｎｏｆ１．２０５８ＢｉｌｉｏｎｗｉｔｈＨｏｕｓｅｈｏｌｄＲｅｇｉｓｔｒａｔｉｏｎＤａｔａｆｒｏｍｔｈｅＭｉｎｉｓｔｒｙｏｆＰｕｂｌｉｃＳｅｃｕｒｉｔｙｓｈｏｗｔｈａｔｂｙｔｈｅｅｎｄｏｆ１９９７，Ｃｈｉｎａ＇ｓｐｏ...

简介：Thispaperproposesanovelregistrationmethodforaugmentedreality(AR)systemsbasedonOrientedFASTandRotatedBRIEF(ORB)andFastRetinaKeypoint(FREAK)naturalfeatures.IntheproposedORBFREAKmethod,featureextractionisimplementedbasedonthecombinationofORBandFREAK,andthefeaturepointsarematchedusingHammingdistance.Togetgoodmatchingpoints,cross-checksandleastmediansquaresareusedtoperformoutlierfiltration,andcameraposeisestimatedusingthematchedpoints.Finally,ARisrendered.Experimentsshowthattheproposedmethodimprovesthespeedofregistrationtobeinrealtime;theproposedmethodcanaccuratelyregisterthetargetobjectunderthecircumstancesofpartialocclusionoftheobject;anditalsocanovercometheeffectsofrotation,scalechange,ambientlightanddistance.

简介：一个改进图象登记方法与混合优化器基于相互的信息被建议。第一，相互的信息措施与词法坡度信息被相结合。坡度信息的本质是有大坡度大小的地点应该被排列，而且在那些地点的坡度的取向应该是类似的。第二，一个混合优化器把PSO与鲍威尔相结合算法被建议制止相互的信息功能的本地最大值并且改进登记精确性到亚象素水平。最后，multiresolution数据结构不能仅仅基于Mallat分解改进登记功能的行为，而且改进算法的速度。试验性的结果证明新方法能产出好登记结果，比关于光滑和吸引力盆以及集中速度的传统的优化器优异。

简介：陆上的3D激光扫描的获得和登记是在在三种尺寸城市印射并且当模特儿的一项基本任务。为了自动化这项任务，没有标记的登记方法被要求。基于地平线特征的存在，这份报纸建议一个新奇方法。地平线特征从全景的3D扫描被提取并且作为启用绳为合并扫描匹配的使用的绳编码了。在Bremen的古老的城市中心的建议方法的起始的结果被介绍。

简介：Howtoimprovetheprobabilityofregistrationandprecisionoflocalizationisahardproblem,whichisdesideratedtosolve.Thetwobasicapproaches(normalizedcross-correlationandphasecorrelation)forimageregistrationareanalysed,twoimprovedapproachesbasedonspatial-temporalrelationshiparepresented.Thismethodaddsthecorrelationmatrixaccordingtothedisplacementsinx-cirectionandy-directions,andtheregistrationposeissearchedintheaddedmatrix.Themethodovercomestheshortcomingthattheprobabilityofregistrationdecreasingwithareaincreasingowingtogeometricdistortion,improvestheprobabilityandtherobustnessofregistration.

简介：Inlandmark-basedimageregistration,estimatingthelandmarkcorrespondenceplaysanimportantrole.Inthisletter,anovellandmarkcorrespondenceestimationtechniqueusingmeanshiftalgorithmisproposed.Imagecornerpointsaredetectedaslandmarksandmeanshiftiterationsareadoptedtofindthemostprobablecorrespondingpointpositionsintwoimages.Mutualinformationbetweenintensityoftwolocalregionsiscomputedtoeliminatemis-matchingpoints.Multi-levelestimation(MLE)techniqueisproposedtoimprovethestabilityofcorrespondingestimation.Experimentsshowthattheprecisioninlocationofcorrespondencelandmarksisexact.Theproposedtechniqueisshowntobefeasibleandrapidintheexperimentsofvariousmono-modalmedicalimages.

简介：Inordertoeliminatedisplacementandelasticdeformationbetweenimagesofadjacentframesincourseof3Dultrasonicimagereconstruction,elasticregistrationbasedonskeletonfeaturewasadoptinthispaper.Anewautomaticallyskeletontrackingextractalgorithmispresented,whichcanextractconnectedskeletontoexpressfigurefeature.Featurepointsofconnectedskeletonareextractedautomaticallybyaccountingtopicalcurvatureextremepointsseveraltimes.Initialregistrationisprocessedaccordingtobarycenterofskeleton.Whereafter,elasticregistrationbasedonradialbasisfunctionareprocessedaccordingtofeaturepointsofskeleton.Resultofexampledemonstratethataccordingtotraditionalrigidregistration,elasticregistrationbasedonskeletonfeatureretainnaturaldifferenceinshapefororgan'sdifferentpart,andeliminateslightelasticdeformationbetweenframescausedbyimageobtainedprocesssimultaneously.Thisalgorithmhasahighpracticalvalueforimageregistrationincourseof3Dultrasoundimagereconstruction.

简介：Homologousfeaturepointextractionisakeyproblemintheopticalandsyntheticapertureradar(SAR)imageregistrationforislands.Anewfeaturepointextractionmethodusingathresholdshrinkoperatorandnon-subsampledwavelettransform(TSO-NSWT)foropticalandSARimageregistrationwasproposed.Moreover,thematchingforthisproposedfeaturewasdifferentfromthetraditionalfeaturematchingstrategiesandwasperformedusingasimilaritymeasurecomputedfromneighborhoodcirclesinlow-frequencybands.Then,anumberofreliablymatchedcoupleswithevendistributionswereobtained,whichassuredtheaccuracyoftheregistration.ApplicationoftheproposedalgorithmtoSPOT-5(multi-spectral)andYG-1(SAR)imagesshowedthatalargenumberofaccuratelymatchedcouplescouldbeidentified.Additionally,bothoftherootmeansquareerror(RMSE)patternsoftheregistrationparameterscomputedbasedontheTSO-NSWTalgorithmandtraditionalNSWTalgorithmwereanalyzedandcompared,whichfurtherdemonstratedtheeffectivenessoftheproposedalgorithm.Thealgorithmcansupplythecrucialstepforislandimageregistrationandislandrecognition.

简介：Segmentingwholeheartfromcardiaccomputedtomography(CTimagescanprovideanimportantbasisfortheevaluationofcardiacfunctionandhelpimprovetheaccuracyofclinicaldiagnosis.Manualsegmentationisthemostaccuratemethodforcardiacsegmentation.Butitistimeconsumingandnotsufficientlyreproducible.However,cliniciansstillrelyonthismethodinpracticalapplications.Soafullyautomaticmethodisneededtoimprovethesegmentationefficiency.Thispapeproposesaregistration-basedautomaticapproachforthree-dimensional(3DsegmentationofcardiacCTimages.TheproposedmethodutilizesthesimilarityocardiacCTimagesbetweendifferentindividuals,andusesregistrationtoachievethesegmentation.Affinetransformationisfirstlyimplementedtoachieveglobalcoarseregistration.Then,cubicB-splinesareusedtorefinethelocaldetailsinlocallyaccurateregistration.Mutualinformation(Ml)isusedasthesimilaritymeasure,andadaptivestochasticgradientdescent(ASGD)astheoptimizationalgorithm.Oumethodisappliedtothedual-sourcecardiacCTimagestosegmentwholeheartExperimentalresultsshowthattheproposedmethodcanautomaticallysegmentwholeheartfromcardiacCTimages.

简介：Redbloodcells(RBC)’flickeringpresentthedynamicpropertiesofthecytomembrane.Itscomplexitycouldbeusedforaginganalysisortheevaluationforthestoragequality.Theflickeringactivityisakindofreversibleperpendicularmotionofthespecifiedpixel.Therefore,thecomplexityanalysisdependsonthereliabledetectionoftemporalvariationforthegray-scalevaluesfromeachpixelofthecells.Inthispaper,weimprovedourpreviousworkonthescreeningofthehorizontaldriftedcellswithasurfacebasedoncellregistrationmethodandtheeffectofGSMexposuretothedynamicpropertiesoftheRBCsintermsofmulti-scalesampleentropywaspresentedinthepaper.

简介：

简介：