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一种基于标定点拟合的铁路桥梁线性裂缝长度测量方法（英文）.docx

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一种基于标定点拟合的铁路桥梁线性裂缝长度测量方法（英文） Title:AMethodforLinearCrackLengthMeasurementinRailwayBridgeBasedonCalibrationPointsFitting Abstract: Crackdetectionandmeasurementinrailwaybridgesiscrucialforensuringthesafetyandintegrityofthestructures.Traditionalcrackmeasurementmethodsoftenrelyonmanualinspection,whichistime-consumingandsubjecttohumanerror.Inthisstudy,weproposeanovelmethodformeasuringthelinearcracklengthinrailwaybridgesusingacalibrationpointsfittingapproach.Themethodaimstoimprovetheaccuracyandefficiencyofcrackdetectionandmeasurement. Introduction: Thedetectionandmeasurementofcracksinrailwaybridgesisessential,ascrackscansignificantlyimpactthestructuralintegrityandsafetyofthebridges.Earlydetectionandaccuratemeasurementofcracksarevitalforeffectivemaintenanceandrepair.Traditionalcrackmeasurementmethodsinvolvevisualinspectionanddirectmeasurementusingrulersorotherhandheldtools.Thesemethodsarelabor-intensive,time-consuming,andoftenpronetoerror. Inrecentyears,computervisionandimageanalysistechniqueshaveshowngreatpotentialincrackdetectionandmeasurement.Variousalgorithmsandmethodshavebeendevelopedtoautomatetheprocessandenhancetheaccuracy.Inthispaper,weproposeanewmethodforlinearcracklengthmeasurementinrailwaybridgesbasedoncalibrationpointsfitting. Methodology: Ourproposedmethodconsistsofthefollowingsteps: 1.ImageCapture: High-resolutionimagesoftherailwaybridgearecapturedusingadigitalcameraorotherimagingdevices.Theimagesshouldbetakenfromdifferentanglesanddistancestocovertheentirecrackarea. 2.CalibrationPointsSelection: Severalcalibrationpointsareselectedontherailwaybridge,preferablylocatednearthecrackarea.Thesepointsserveasreferencepointsforaccuratecracklengthmeasurement.Theselectionofcalibrationpointsshouldensurethattheyareeasilyidentifiableandcanbeconsistentlylocatedindifferentimages. 3.ImageProcessing: Thecapturedimagesareprocessedtoenhancethevisibilityofthecracksandeliminatenoise.Imageenhancementtechniques,suchascontrastadjustmentandnoisereductionfilters,canbeappliedtoimprovethe