ADetectionAlgorithmofHookDeformationBasedonOpeningandTwistingAngle

doi:10.3969/j.issn.1006-2475.2018.07.009

Abstract

Abstract: Aimingattheproblemsofcomplexmeasurementtools,lowmeasurementaccuracy,lowefficiencyandpooraccuracyinthetraditionalartificialhookdetection,ahookdeformationdetectionalgorithmisproposedbasedontheintegratedpointcloudsegmentation,cylindricalaxisextractionandmodelsymmetryplaneextraction.Byredefiningtheopeningdegreeofthehook,thetworeferencepointsoftheopeningdegreeareextractedbycombiningtheabovethreealgorithms,andthetwistangleofthehookisobtainedthroughthecombinationofpointcloudsegmentationandsymmetryplaneextraction.Experimentalresultsshowthatcomparedwiththetraditionalmanualdetection,theproposedalgorithmhastheadvantagesofshortdetectiontime,highmeasurementaccuracy,lesstoolsandtraceability.

Key words: cylindricalaxisextraction, symmetryextraction, pointcloudsegmentation, hook

CLC Number:

TP391.7

WULiang-cheng，GUOLing. ADetectionAlgorithmofHookDeformationBasedonOpeningandTwistingAngle[J]. Computer and Modernization, 2018, 0(07): 43-.

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