有限状态设备的状态识别方法的分析

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1、浙江理工大学硕士学位论文ResearchonstaterecognitionmethodfordeviceswithlimitedstatesABSTRACTWiththedevelopmentofscienceandtechnology，visualmonitoringsystemhasbeenusedinmanyfieldsofdailylife．Nowadays，therehasverytightrelmionbetweenvisualmonitoringandsecuritytechnology,andvisualmonitoringtec

2、hnologyhasbecomeoneofthemostimportantsecuritytechnologies．Butthemostmonitoringsystemsnowusedarefixedpositionsystems．Suchsystemslackof诚demonitoringabilities．Incaseofmonitoringhundrandsoftargets，peoplemayneedtosetuplargeamountofsuchsystemsandmakecostsincreasingrapidly．Mobilemoni

3、toringisoneofalternationstodiminishinvestments．Bythisapproach,bothtransmittionloadsbetweenmobileplatformandmainstation,andmanualrecognitionloadsinmainstationremainverylarge．Aimmedatdeviceswimlimitedstates，adevicestaterecognitionmethosWasproposedinthispaperbasedonstandardimagem

4、atchingtechnology．Theproposedmethodaccomplishesstaterecognizationbycomparingreal-timeimageandstandardimageinmobileplatform，thenonlysendsthoseabnormalimagestomainstationforfurthercheching，SOastodiminishtransmittionloadsandmanualloads．ThemaincontextofthisstudyCanbesummarizedasfo

5、llows：(1)Asymbolrecognitionapproachbasedonthecharacteristicsofsymbolicheart-shapedWasproposed．‘Symbol-domainswerefirstlyextractedafterscanningtheimageonceandtheconnected·domainqueuetwice．Heart—shapeddistributionfeaturesinconnected-domainswerethenextractedandsymbolsCanberecogni

6、zedaccordingthesefeatures．CurvingfittingWasthenappliedtoskeletonlinecenter,imagedistortiondatacanbeobtainedthroughtheanalysisoffitskeletonlines．Thesdataareusedinsubsequentworksincludingimagestandardization．(2)Imagecapturingandcontr01．Anaccuracyandefficiencysharpnessfunctionisa

7、keytOauto-focusingprocessinordertocaptureaclearimage．Ill浙江理工大学硕士学位论文PerformanceofGradientfunction，SpectrumfunctionandEntropyfunctionWaSfirstlyanalysisedandcomparedinexperiment．ExperimentalresultsindicatethatTenengradfunction，BrennerfunctionandSquareGradientfunctionhavehi曲sensi

8、tivityinfocalplane，thetreadchangeifimageisnotclear，andthisCal