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<p>In this paper, a sub-pixel detection and evaluation method for roundness error of shaft workpiece is proposed by using machine vision technology. This method uses polynomial interpolation-piecewise curve fitting algorithm to accurately locate the sub-pixel edge of image contour. Based on obtaining the sub-pixel coordinates of image edge points, the least square method is used to detect the center coordinates, and then the roundness error of shaft workpiece is detected and evaluated. The experimental results show that the average absolute errors between the measured values of this method and the measured values of the vertical optical meter and the coordinate measuring machine are 7.6 µm and 6.9 µm, respectively, and the roundness error value measured by this method is more uniform, the fluctuation is the smallest and the detection accuracy is higher, which provides a feasible approach for the evaluation of the roundness error of shaft workpieces.</p>

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Research on sub-pixel detection and evaluation of round-ness error of shaft workpiece based on machine vision

  • 期刊论文

  • 发表日期：

    2025年3月22日

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  • Kui Yuan,
  • Hengxun Fu,
  • Rong Li,
  • Ligui Shen,
  • Longyu Qian,
  • Dong Qin,
  • Huaichao Wu

摘要

In this paper, a sub-pixel detection and evaluation method for roundness error of shaft workpiece is proposed by using machine vision technology. This method uses polynomial interpolation-piecewise curve fitting algorithm to accurately locate the sub-pixel edge of image contour. Based on obtaining the sub-pixel coordinates of image edge points, the least square method is used to detect the center coordinates, and then the roundness error of shaft workpiece is detected and evaluated. The experimental results show that the average absolute errors between the measured values of this method and the measured values of the vertical optical meter and the coordinate measuring machine are 7.6 µm and 6.9 µm, respectively, and the roundness error value measured by this method is more uniform, the fluctuation is the smallest and the detection accuracy is higher, which provides a feasible approach for the evaluation of the roundness error of shaft workpieces.