基于改进Snake算法的圆孔类零件测量方法

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中图分类号：TN911-34 文献标识码：A 文章编号：1004-373X（2026）09-0148-08

Abstract：Atpresent，machinevisionstillfacesunsatisfiedaccuracyindimensionalmeasurement，soitisdificulttomeet the needsofhigh-precisionmeasurement.Inviewof this，thestudyproposedaSnakemodeloptimizationmethod integrating the multi-stageedgeenhancementmechanism toimprovethevisualdetectionaccuracy.TheCannyoperatorisoptimizedinthe aspects of noisesuppression，multi-directional gradientfeaturecalculationandthresholdsegmentation，theedge pointsetof contourisextracted，andtheinitialpositionngofircularholecontourpositionisrealized.TheinitialcurvesetingoftheSnake algorithmisimprovedtofurtherrefinetheedgeofthetargetareawherethecircularholeislocated.Theoptimizededgepoints arescreenedbyintegrating theRANSAC （randomsampleconsensus）algorithm，sothattheabnormal pointsareremoved.Finally， thecenterandradiusofthecirclearefurtherfitedacuratelybytheleastsquare method，soastorealizethehigh-precision detectionand measurementof the circularhole.Theexperimentsshow thatthesystem can measuretheworkpiece witha precision of 0.02mm ，and the measurement accuracy is significantly higher than that of the traditional Snake algorithm，so the proposed algorithm can meet the detection requirements of industrial high-precision circular hole parts.

KeyWords：Snakealgorithm;Cannyoperator;gradient amplitude;RANSACalgorithm;least square method; circular hole parts

0 引言

圆孔零件在工业中广泛应用，且其尺寸是判断零件合格与否的重要标准，因此圆孔工件检测在零部件检测中至关重要。（剩余7123字）