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一种三维编织物表面参数自动测量方法 Title:AutomatedSurfaceParameterMeasurementMethodforThree-dimensionalWeaveFabrics Abstract: Three-dimensional(3D)weavefabricshavegainedsignificantattentioninvariousindustriesduetotheiruniquepropertiesandapplications.Accuratemeasurementofsurfaceparametersisacrucialstepinunderstandingthestructuralcharacteristicsandperformanceof3Dweavefabrics.Inthispaper,weproposeanautomatedsurfaceparametermeasurementmethodfor3Dweavefabrics.Themethodleveragescomputervisiontechniquestocaptureandanalyzethesurfacefeatures,enablingefficientandnon-destructivemeasurements.Experimentalresultsdemonstratetheeffectivenessandaccuracyoftheproposedmethodinquantifyingsurfaceparametersof3Dweavefabrics. 1.Introduction Three-dimensional(3D)weavefabricsareincreasinglyusedinindustriessuchasaerospace,automotive,andsportsduetotheirenhancedmechanicalproperties,heatinsulation,andmoisture-wickingabilities.Understandingthesurfaceparametersof3Dweavefabricsisimportantinevaluatingtheirperformanceandoptimizingtheirdesign. 2.RelatedWork Previousstudieshaveemployedvarioustechniquestomeasuresurfaceparametersofweavefabrics,includingmanualmeasurementsandnon-destructivemethodssuchaslaserscanningandphotogrammetry.However,thesemethodsaretime-consuming,subjecttohumanerror,andmaynotcapturetheintricatedetailsof3Dweavefabricsaccurately. 3.ProposedMethod Theproposedautomatedsurfaceparametermeasurementmethodcombinescomputervisiontechniqueswithimageprocessingalgorithmstoefficientlyandaccuratelymeasuresurfaceparametersof3Dweavefabrics.Themethodconsistsofthefollowingsteps: 3.1ImageAcquisition High-resolutionimagesofthe3Dweavefabricsurfacearecapturedusingadigitalcameraoramicroscope.Theimagesshouldbecapturedfromdifferentanglestoobtaincomprehensiveinformationaboutthefabric'ssurfacefeatures. 3.2ImagePreprocessing Theacquiredimagesarepreprocessedtoenhancethecontrast,removenoise,andimprovetheclarityofthesurfacefeatures.Preprocessingtechniquessuchasdenoisingfilters,contrastenhancement,andmorphologicaloperationsareapplied

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