基于改进Zernike矩的轴类零件圆度误差视觉评定

Visual evaluation of roundness error of shaft parts based on improved Zernike moments

  • 摘要: 针对轴类零件圆度误差评定普遍存在的效率低、精度差等问题,提出了一种基于改进Zernike矩的轴类零件圆度误差视觉评定方法。首先,搭建轴类零件视觉检测平台,在位移平台控制下拍摄不同截面图像,并利用棋盘格标定法进行相机标定,校正畸变和计算像素当量。其次,以Sobel算子为基础,通过三灰度边缘过渡模型提高测量精度,利用大津法确定最佳阈值,改进Zernike矩亚像素检测方法。最后,使用改进的PSO算法处理轮廓关键坐标点进行圆度误差评定,并与三坐标测量机测量实验。实验结果表明,圆度误差视觉评定方法与CMM测量结果误差在3 μm以内,且稳定性较好,在圆度误差评定中具有实际可行性。

     

    Abstract: Aiming at the problems of low efficiency and poor accuracy in the evaluation of roundness errors of shaft parts, a visual evaluation method for roundness errors of shaft parts based on improved Zernike moments is proposed. Firstly, a visual inspection platform for shaft parts is built, and different cross-section images are taken under the control of a displacement platform. The camera is calibrated using a checkerboard calibration method to correct distortions and calculate pixel equivalents. Secondly, based on the Sobel operator, the measurement accuracy is improved through a three-gray edge transition model, and the optimal threshold is determined using the Otsu method to improve the subpixel detection method of Zernike moments. Finally, the key coordinates of the contour are processed using an improved PSO algorithm for roundness error evaluation, and measured with a three-coordinate measuring machine. The experimental results show that the visual evaluation method for roundness errors has an error within 3 μm compared with the measurement results of CMM, and has good stability, making it feasible for practical use in roundness error evaluation.

     

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