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基于Bilateral-Frangi滤波的桥梁裂缝检测算法为题目,写不少于1200的论文 Introduction Bridgestructuresplayasignificantroleintransportationsystemsworldwide.However,itisessentialtotakeintoaccountthatthedeteriorationanddamagestothebridgestructurescanimpactthesafetyoftheusersofthesebridges. Oneofthesignificantissuesfacedbythebridgestructuresistheoccurrenceofcracksontheirsurfaces.Thesecrackscanleadtostructuralinstability,corrosion,andotherproblemsthatcancompromisethesafetyofthebridgeanditsusers. Therefore,inthispaper,weproposeanovelcrackdetectionalgorithmbasedontheBilateral-Frangifilter.TheBilateral-FrangifiltercombinestheadvantagesofbilateralfilteringandFrangifilteringtoenhancethecontrastofthecrackregion.Theproposedalgorithmhasbeentestedonseveralreal-worldbridgeimagestodemonstrateitseffectiveness. RelatedWork Crackdetectioninbridgestructureshasbeenthesubjectofextensiveresearchinrecentyears.Variousmethodshavebeenproposedfordetectingcracksinbridgestructures,includingvisualinspection,ultrasonictesting,vibrationanalysis,andimageprocessing. Visualinspectionisthemostcommonmethodusedtoidentifycracksinbridgestructures.However,thismethodisnotveryreliableandoftenfailstodetectcracksthatareinvisibletothenakedeye. Ultrasonictestingisanotherwidelyusedmethodfordetectingcracksinbridgestructures.Thismethodinvolvestheuseofhigh-frequencysoundwavestodetectdefectsinthematerial.However,thismethodisnotcost-effectiveandrequirestrainedpersonnel. Vibrationanalysisisanalternativemethodfordetectingcracksinbridgestructures.Thismethodinvolvesanalyzingthevibrationsofthebridgestructuretoidentifythepresenceofcracks.However,thismethodrequiresspecializedequipmentandtrainedpersonnel. Imageprocessingisapromisingmethodfordetectingcracksinbridgestructures.Thismethodinvolvesanalyzingdigitalimagesofthebridgestructuretoidentifythepresenceofcracks.Imageprocessingtechniqueshavetheadvantageofbeingnon-destructiveandeasytoimplement. ProposedMethod TheproposedmethodforcrackdetectioninbridgestructuresisbasedontheBilateral-Frangifilter.TheBilater