Dimension measurement of circular precision components based on machine vision
A fast and accurate detection algorithm based on regional grayscale model is proposed to address the difficulties in measuring the dimensions and the high cost of detection for circular precision components.Research on Machine Vision-Based Circular Precision Dimension Measurement Methods.Firstly,preprocessing of the image is accomplished through morphological operations;Then,in the Partial-area-effect model algorithm,OTSU adaptive thresholding is introduced to improve detection accu-racy;Afterwards,defect handling is accomplished through a circular ring defined by the Canny operator;Finally,the diameter length of the circular shape is fitted using the least squares method.The method boasts high computational speed and accuracy,with a maximum measurement error of less than 0.002 mm and an average measurement error precision of less than 0.0007 mm,meeting the precision requirements for workpiece inspection.
precision testingmachine visionpartial-area-effect model
万方数据
