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Computer vision-based swing center testing method for flexible joint

机译:基于计算机视觉的柔性关节摆动中心测试方法

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In view of the faults of traditional method, a computer vision-based swing center testing method for flexible joint was presented. The first step is to obtain original measurement date by a single industrial camera continuously capturing images of two circular marks which were fixed in the swinging object. The second step is to achieve stable and accurate multi-feature extraction in complex environment by a circular feature extraction method presented by our research group. And the final step is to obtain test results through the markers center coordinate and the swing center computing model. The experimental results indicate that the peak value (PV) error of this method is 1.6mm. This method is effective and it is better than traditional testing methods.
机译:针对传统方法的缺陷,提出了一种基于计算机视觉的柔性关节摆动中心测试方法。第一步是通过一台工业相机连续拍摄固定在摆动物体上的两个圆形标记的图像,以获得原始的测量日期。第二步是通过我们研究小组提出的圆形特征提取方法,在复杂环境中实现稳定,准确的多特征提取。最后一步是通过标记中心坐标和挥杆中心计算模型获得测试结果。实验结果表明,该方法的峰值(PV)误差为1.6mm。这种方法是有效的,并且比传统的测试方法更好。

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