The machining accuracy of the compensation hole of the automobile brake master cylinder directly determines the safety of the automobile and the reliability of parking. How to detect the parameters of the compensation hole with high precision becomes a crucial issue. In this paper, by analyzing the principle of Hough transform detection technology and several optimization algorithms, a new method combining Zernike moment and improved gradient Hough transform is proposed to detect the circular hole parameters. The simulation experiment shows that the proposed algorithm satisfies 0.1 pixels in the coordinate detection of the center position, and the radius detection accuracy is 0.05 pixels, with fast detection speed and good robustness. Compared with the random Hough transform algorithm and the gradient Hough transform algorithm, the algorithm proposed in this paper has higher detection accuracy, faster detection speed, and better robustness, which meets the online detection accuracy requirements of the brake master cylinder compensation hole.

中文翻译：

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基于机器视觉的汽车制动主缸补偿孔参数检测新方法

汽车制动主缸补偿孔的加工精度直接决定着汽车的安全性和停车的可靠性。如何高精度地检测补偿孔的参数成为关键问题。本文通过分析霍夫变换检测技术的原理和几种优化算法，提出了一种将Zernike矩与改进的梯度霍夫变换相结合的新方法来检测圆孔参数。仿真实验表明，该算法在中心位置坐标检测中满足0.1个像素，半径检测精度为0.05个像素，检测速度快，鲁棒性好。与随机霍夫变换算法和梯度霍夫变换算法相比，