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《-边缘检测算子及其在火焰图像中的应用（ - edge detection operator and its application in flame image）》由会员上传分享，免费在线阅读，更多相关内容在教育资源-天天文库。
1、66-边缘检测算子及其在火焰图像中的应用（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
