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一种鲁棒的圆形标记点中心提取方法 Title:ARobustMethodforExtractingCentersofCircularMarkers Abstract: Inrecentyears,thedemandforaccurateandrobustcenterextractionofcircularmarkershassignificantlyincreased,owingtotheirwiderangeofapplicationsinvariousfieldssuchascomputervision,robotics,andimageprocessing.Thispaperpresentsanovelmethodforextractingthecentersofcircularmarkersthatisrobusttonoise,variationsinlightingconditions,andocclusions.Theproposedmethodutilizesadvancedimageprocessingtechniques,includingedgedetection,Houghtransform,andintensity-basedclustering,toachieveaccurateandreliablecenterlocalization.Experimentalresultsdemonstratetheeffectivenessandrobustnessoftheproposedmethod,makingitsuitableforreal-worldapplications. 1.Introduction 1.1Background Circularmarkersarewidelyusedforvariouspurposes,suchasobjecttracking,augmentedreality,andcameracalibration.Theaccurateextractionoftheircentersisessentialforfurtheranalysisandprocessing.However,thistaskischallengingduetonoise,lightingvariations,andocclusionsinreal-worldscenarios. 1.2Objectives Theobjectiveofthispaperistopresentarobustmethodforextractingthecentersofcircularmarkers,whichaddressesthechallengesmentionedabove.Theproposedmethodaimstoachievehighaccuracyandreliabilityeveninthepresenceofnoisydataandchallengingenvironmentalconditions. 2.RelatedWork Thissectionpresentsareviewofexistingmethodsforcircularmarkercenterextraction.Varioustechniques,suchastemplatematching,thresholding,andcontourdetection,havebeenemployedintheliterature.However,thesemethodsoftenstrugglewithnoise,occlusions,orlightingvariations,limitingtheirapplicability. 3.ProposedMethod 3.1Preprocessing Theproposedmethodbeginswithaseriesofpreprocessingstepstoenhancethemarker'sappearance,reducenoise,andimprovetheoverallimagequality.Thesestepsmayincludenoisereduction,contrastenhancement,andimagenormalization. 3.2EdgeDetection Inthisstage,anedgedetectionalgorithmisappliedtothepreprocessedimage.PopulartechniquessuchasCannyedgedetectionorSobeloperatorscanbeemployedtoextractthema