简介:<正>QUESTION:I’mtheCEOofaforeigncorporation,ourcompanywanttosetupaChinese-foreignjointventureinChinesethisyear.Buttothisday,wedon’tknowhowtohandletheproceduresoftheregistrationfortaxationofourjointventure.Pleasetellusthedetails;we’llbeextremelygratefultoyourhelp.
简介:InterferometricSyntheticApertureRadar(InSAR)allowsproductionofhighresolutionDEManddetectionofsmallearthmotionsusingmultiplepassSARdatasetsobtainedbyremotesensingsatellite.ButthewholeprocesshasnotyetreachedsufficientrobustnesstowarrantautomatedDEMproductionascommonlyproducedbystereovisionwithopticalimages.TheautomaticalgorithmforprecisionregistrationisoneofthebottlenecksinInSARdataprocessing.Inthispaper,anautomaticapproachwithmulti-stepimagematchingalgorithmispresented.Allproceduresareautomaticallyimplemented.TheexperimentiscarriedoutsuccessfullywithSIR-C/L-bandInSARdata.Thetriangularpiecewiserectificationisalsoadvancedinreducinglocaldistortionbetweentheimagesandprocessingthelargesceneimage.Theprimaryresulthasprospectintheprecisionregistrationfortherepeat-trackInSARdataandrevealsthepotentialofthepresentedautomaticstrategy.
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: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: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:X-rayimagingistheconventionalmethodfordiagnosingtheorthopedicconditionofapatient.ComputerizedTomography(CT)scanningisanotherdiagnosticmethodthatprovidespatient’s3Danatomicalinformation.However,bothmethodshavelimitationswhendiagnosingthewholeleg;X-rayimagingdoesnotprovide3Dinformation,andnormalCTscanningcannotbeperformedwithastandingposture.Obtaining3Ddataregardingthewholeleginastandingpostureisclinicallyimportantbecauseitenables3Danalysisintheweightbearingcondition.Basedontheseclinicalneeds,ahardware-basedbi-planeX-rayimagingsystemhasbeendeveloped;itusestwoorthogonalX-rayimages.However,suchmethodshavenotbeenmadeavailableingeneralclinicsbecauseofthehightcost.Therefore,weproposedawidelyadaptivemethodfor2DX-rayimageand3DCTscandata.Bythismethod,itispossibletothreedimensionallyanalyzethewholeleginstandingposture.TheoptimalpositionthatgeneratesthemostsimilarimageisthecapturedX-rayimage.Thealgorithmverifiesthesimilarityusingtheperformanceoftheproposedmethodbysimulation-basedexperiments.Then,weanalyzedtheinternal-externalrotationangleofthefemurusingrealpatientdata.Approximately10.55degreesofinternalrotationswerefoundrelativetothedefinedanterior-posteriordirection.Inthispaper,wepresentausefulregistrationmethodusingtheconventionalX-rayimageand3DCTscandatatoanalyzethewholelegintheweight-bearingcondition.