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ID:51451540
大小:1.76 MB
页数:6页
时间:2020-03-25
《基于模糊形态学的图像边缘轮廓提取分割算法.pdf》由会员上传分享,免费在线阅读,更多相关内容在行业资料-天天文库。
1、机床与液压Sep.2013HydromechatronicsEngineeringVo1.41No.18DOI:10.3969/j.issn.1001-3881.2013.18.023SegmentationAlgorithmofContourExtractionforImageEdgeBasedonFuzzyMorphologyHUANGWeiDepartmentofAutomation,ChongqingIndustryPolytechnicCollege,Chongqing401120,ChinaAbs
2、tract:Thereisextensiveapplicationofcontourextractionforimageedgeintheaspectofin-dustrialnondestructivetesting,assemblyandtestingofcomplexparts.Aimedatbeingeasytoproduceover-segmentationofremotesensingimageresultedintheimpactofnoiseetc,thepa-perexploredanalg
3、orithmforsegmentationofremotesensingimageincropsbasedonfuzzymorphology.Bymeansofopenandclosedoperationoffuzzymorphology,themethodfirstmakessmoothprocessingfortheimage,thenexecutethegradientcalculationbasedofmorpho-logicalgradientoperator,andfinallybasedoffu
4、zzymorphology,anditcarriesthoughtheseg—mentationforthegradientimageandachievestheimagetobesegmented.Thesimulationtooktheimagerecognitionasanexample,andtheexperimentdemonstratedthattheimagesegmen-tationalgorithmbasedonfuzzymorphologycanefectivelyeliminatethe
5、over·segmentationphe·-nomenon,distinguishtheimagecorrectly,andrealizetheseparationoftargetandbackground.Theresearchresultshowstheproposedmagesegmentationalgorithmisreasonableandfeasi—ble.Keywords:fuzzymorphology,gradientoperator,imagesegmentation,contourrec
6、ognitionagestructurefeaturebeingtakenintoaccountfor1.Introductionmathematicalmorphologyfully,ithasveryuniquesuperiority,anditswatershedtransformationisasortThetechnologyofimageedgecontoursegmenta—ofimagesegmentationmethodthatcanobtainaccu—tionhasveryimporta
7、ntpracticalvalueinimageanal-rateimageedge.Butitisverysensitivefornoiseinysisofremotesensingandvideoimageetcforlotsofimageprocessingandeasytoproduceover-segmenta--fieldssuchasindustrialproduction,targetdetectiontionphenomenon[4—8].Aimedattheover-segmen-ofmil
8、itaryaffairs,agriculture,seasandoceans,pro-tationresultedinnoise,inordertoimprovetheimagetectionofenvironmentresourceandsoon[1—3].segmentationquality,thepaperexploredasortofTheimagesegmentationisasorto
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