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Numerical calibration of laser line scanning system with multiple sensors for inspecting cross-section profiles

机译:带有多个传感器的激光线扫描系统的数值校准,用于检查截面轮廓

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Line structured light sensors (LSLSs) have gained more and more applications in industry. An interested profile can be easily obtained through the analysis of laser-object intersection stripe. But one sensor is inadequate to get a closed cross-section profile due to the obstacle of the laser light. Thus, multiple LSLSs were integrated as a whole for profile inspection and a numerical calibration method was also proposed. Firstly, the laser planes from all laser projectors were adjusted to coincide with the target plane by adjusting the fixtures of the laser projector. For each sensor, origin of the world coordinate system (WCS) was fixed at the center of a corner calibration dot with its X and Y axis coincide with the row and column direction of target dots. Each sensor camera captured one image of the same target. The relationship between the pixel coordinate system (PCS) and the WCS was established using an interpolation method via the world coordinates of target dot centers and their corresponding pixel coordinates. Then the measurement points from all the sensors were transformed into the global WCS, and a closed cross-section profile can be achieved. This proposed method neither need to establish the intrinsic, the extrinsic and the distortion models of the camera, nor need to solve the complex optimization equations to determine the model coefficients. Finally, a workpeice with stairs and a rectangular block were inspected. The comparison with the measuring results from the coordinate measuring machine further validates the high accuracy of the proposed method.
机译:线结构光传感器(LSLSs)在工业中获得了越来越多的应用。通过分析激光物体相交条纹可以轻松获得感兴趣的轮廓。但是由于激光的障碍,一个传感器不足以得到闭合的横截面轮廓。因此,将多个LSLS作为一个整体进行了轮廓检查,并提出了一种数值校准方法。首先,通过调整激光投影仪的固定装置,将所有激光投影仪的激光平面调整为与目标平面重合。对于每个传感器,世界坐标系(WCS)的原点固定在角校准点的中心,其X和Y轴与目标点的行和列方向一致。每个传感器摄像机捕获相同目标的一个图像。使用插值方法,通过目标点中心的世界坐标及其对应的像素坐标,建立像素坐标系(PCS)与WCS之间的关系。然后,将所有传感器的测量点转换为全局WCS,即可获得闭合的横截面轮廓。该方法既不需要建立摄像机的本征模型,本征模型和畸变模型,也不需要求解复杂的优化方程来确定模型系数。最后,检查了带有楼梯和矩形块的工作间。与坐标测量机的测量结果进行比较,进一步验证了该方法的高精度。

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