Research on dimensional measurement of sleeve pieces based on machine vision

doi:10.16731/j.cnki.1671-3133.2025.04.015

Abstract

Abstract: Aiming at the problems of low efficiency and low precision of measuring sleeve size in traditional industrial inspection,a sleeve size measurement method based on machine vision was proposed. Firstly,the sleeve image was captured by the CMOS camera calibrated by Halcon software,and pre-processed by bilateral filtering and threshold segmentation. The improved Canny algorithm combined with the optimal segmentation threshold obtained by the Otsu method was used to obtain the pixel-level coordinates of the edges. The improved Zernike moments algorithm was used to locate the edges accurately. Finally,the inner and outer diameters of the sleeve were solved by fitting the inner and outer circles using the least squares method.The experimental results show that the average measurement accuracy of the method is less than 0.02 mm,and the measurement accuracy and efficiency meet the requirements of enterprises for rapid and accurate inspection.

Key words: machine vision, sleeve, sub-pixel, dimensional measurement

CLC Number:

TP391

CAI Shu, WU Chaohua, LUO Wei, SHI Xiaoliang. Research on dimensional measurement of sleeve pieces based on machine vision[J]. Modern Manufacturing Engineering, 2025, 535(4): 123-131.

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