基于机器视觉的钢轨圆孔动态测量方法
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1.电子科技大学 光电科学与工程学院 成都 610054;2.万岩铁路装备(成都)有限责任公司 成都 610051

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TP391

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四川省重点研发项目(2021YFG0009)


Dynamic measurement method of rail round hole based on machine vision
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1. School of Optoelectronic Science and Engineering,University of Electronic Science and Technology of China, Chengdu 610054, China; 2. Wanyan Railway Equipment (Chengdu) Co., Ltd., Chengdu 610051, China

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    摘要:

    为动态检测铁轨上圆孔两侧尺寸是否合格,提出了一种基于机器视觉的圆孔动态测量方法。首先,通过工业相机动态采集圆孔图像并对图像预处理,其中,图像中外圆和内圆的半径分别对应圆孔两侧尺寸。其次,利用边缘检测和梯度法获取外圆的圆心与半径,在边缘检测时,采用记忆化搜索降低无关边缘的影响。然后在极坐标系下搜索外圆区域获取内圆轮廓点,并对其迭代拟合,最终得到内圆尺寸,实现了圆孔两侧尺寸的动态测量。经实验测试表明,这种方法测量精度高,光照度为2000 lx时,圆孔两侧尺寸测量误差均小于1个像素。

    Abstract:

    In order to solve the problem of dynamic detection of both sides of round holes on rails, a dynamic measurement method of round holes based on machine vision was proposed. Firstly, the image of the round hole is dynamically collected by an industrial camera and preprocessed. The radius of the outer circle and the inner circle of the image corresponds to the dimensions of both sides of the round hole. Secondly, the center and radius of outer circle are obtained by edge detection and gradient method, and the influence of irrelevant edges is reduced by mnemonic search during edge detection. Then, the contour points of the inner circle were obtained by searching the outer circle region in the polar coordinate system, and the inner circle size was finally obtained by iterative fitting, and the dynamic measurement of the dimensions of the two sides of the hole was realized. The experimental results show that this method has high precision, and the measurement errors of both sides of the circular hole are less than 1 pixel when the illumination is 2000 lx.

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陈旭昂,邓 恒,周建华,余学才.基于机器视觉的钢轨圆孔动态测量方法[J].电子测量技术,2022,45(21):111-116

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  • 在线发布日期: 2024-03-19
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