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《-邊緣檢測(cè)算子及其在火焰圖像中的應(yīng)用（ - edge detection operator and its application in flame image）》由會(huì)員上傳分享，免費(fèi)在線閱讀，更多相關(guān)內(nèi)容在教育資源-天天文庫。
1、66-邊緣檢測(cè)算子及其在火焰圖像中的應(yīng)用（66-edgedetectionoperatoranditsapplicationinflameimage）EdgedetectionoperatoranditsapplicationinflameimageXuxiaojun,shaoying,guoshangfen(navalengineeringuniversitycollegeofelectricalandinformationengineering,wuhan,hubei430033)Pickto:thi
2、spaperintroducesseveralkindsofclassicflameimageedgedetectionoperator,andtheuseoftheoperatorforflameimageedgedetection,summeduptherelativelyeffectiveflameimageedgedetectionoperator,provideabasisforthefurtherimplementationoftheflamecharacteristicparameterse
3、xtraction.Keywords:firedetection;Flameimages;EdgedetectionoperatorEdgeDetectionOperatorsandTheirApplicationInFlameImageXUXiao-jun,ShaoYing,GuoShang-fen(Dept.OfElectricalEngineering,NavalUniversityofEngineering,Wuhan430033,HubeiProvince,China)Abstract:Inth
4、isarticle,severalkindsofclassicalflameimageedgedetectionoperatorsareintroduced.ThenweappliedthemInflameimageedgedetection.Atlastwewenttothebesteffectiveflameimageedgedetectionoperator.Thatwillaffordtopickupflame'scharacterparameters.Keywords:thefiredetect
5、ion;Flameimage;Edgedetectionoperator1theintroductionFlameimageisthemaininformationsourceoffireimagedetectionmethod,anditsinformationisrichandintuitive,whichlaysthefoundationfortheidentificationandjudgmentofearlyfire.Onflameimageedgedetectioncanbeeitherfor
6、flameimagerestoration,enhancementandreconstructiontoprovidetheoryandmethod,andcanprovideabasisfortheextractionofcharacteristicsofflame,becomeanindispensablestepinthefireimagedetectionmethod.Generallyreferstotheimagepixelleveledgehasastepchangeorroofshapec
7、hangeofthecollectionofpixels,canberoughlydividedintostepedges(stepedge)androof(theroofedge),itexistsinthetargetandthebackground,goalsandobjectives,betweenregionandregion,primitiveandprimitive[1].Edgeofimagerecognitionandanalysisisveryuseful,itcandrawanout
8、lineofthetargetobject,maketheobserverbeclearataglance,containsawealthofinformation(suchasdirection,stepproperties,shape,etc.),isoneoftheimportantattributesextractioninimagerecognition.Inrecentyears,withthedevelopmen
