基于图像边缘识别的热轧钢板长度定尺系统

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1、万方数据浙江大学硕士学位论文AbstractAbstractIronproductionisvitalinmanufacturingindustry．Thequalityoftheindustrialproductsisduetoironandsteel’Squality．Hotrolledsteelcomesfrompressureprocessing，SOtherimofthesteelheadregionwillpresentirregular，whichcannotbeused．Sothelengthdetectionreferenc

2、eshouldjustexcludetheirregularregion．Ifthereferencepositionisunreasonableandmakethesteelslabcontainstheirregularpart，theusablelengthbecomesshorterandleadtoscrap。Conversely,theshearedlengthtoolongwillmakeawaste．Soit’Sessentialtoabstracttheslabrim，inorderto，resolvetheposition

3、ofthelengthreference．Byfindingthecorrespondingrelationshipbetweenpixelsandreallength，thesteelslab’SlengthCallbegauged，itsutilizationratecallbealsoincreasedhordertomeetthedemand，alengthdetectionsystemisdesignedinthispaper．Thesystemconsistsofcontrolsystem，cameramodule，holderm

4、odule，datummodule，electricmoduleandinterfacemodule．ThesystemworksindependentlyattheshearingproductionlineandCanachieveareferencelengthoftheslab，thendisplaythedetectedlengthonthemonitoringsysteminreal-time．OperatorsCanaccomplishtheshearingactionbasedonthedataandimagesshownon

5、thecontrolroom’Smonitor．Thesystemhassolvedtwothornyproblems．Theformeroneiscausedbythecomplexcircumstanceinthefactory．Thedustandthesundrieswillbothimpactthecamera,andmakeitdifficulttoabstracttheriminformationandinterferencetheprecisionofthelength．Thesecondproblemishowtousean

6、efficientalgorithmtoextracttheriminformationfromtheimagewhichhasbeendeletedthebackground，andthentoachievethereferencelengthinasatisfiedprecision．ThealgorithmshouldhaveahighrunningspeedandstabilizetoresistinterferenceInordertosolvethefirstproblem，inthispaperwedevelopedacompo

7、sitealgorithmtosegmenttheimagebackgroundandmaketheforegroundriminformationeasytopickup．Thesegmentationalgorithmcreatedabackgroundmodel，andusetheimagesubtractedthemodelThentheimagewithoutbackgroundOccurssuccessfully．Withthehelpofsomereviseformula，thealgorithmCansuccessfullyh

8、andlethethornyproblemsuchaslowluminance，reflection，shadows，andsomeareaswiththesimi