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CALIBRATION EXPERIMENTS ON A VISUAL MEASUREMENT SYSTEM FOR PINION GEARS

机译:小齿轮视觉测量系统的校准实验

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摘要

Visual measurement is one of the important measurement methods for pinion gears. The measurement principle and the systematic structure of a pinion gear visual measuring system were given. Pixel equivalent is the key parameter in the visual measurement system, which needs to be calibrated before dimensions evaluation. A glass dot calibration plate was applied in the system calibration. Pixel equivalent calibration experiment, LED brightness experiment, edge compensation experiment and multi-position edge compensation experiment was carried out. The parameter pixel equivalent is determined by the comparison between the physical size of center distance of adjacent mark circle in the glass dot calibration plate and its pixels number obtained by the visual system. The center distance of adjacent mark circle was chosen to avoid the affection of the brightness of light source and the sub-pixel technology was used. The proper brightness condition of LED light was selected in the LED brightness experiment. Under this condition, the compensation of edge deviation was obtained by analyzing the edge position deviation in the diameter measurement of the mark circle of the calibration plate. The experimental results show that the pixel equivalent is 5.59522μm/Pixel, and the compensation of edge deviation is 0.54μm. 49 diameters of the circular marker were measured in edge compensation experiment, the largest difference between the measured diameter in central vision after compensation and its physical dimensions is 0.3um, which is 0.2um in muti-position edge compensation experiment. The calibration methods and the experimental research are important for the designed visual measurement system for pinion gears.
机译:视觉测量是小齿轮的重要测量方法之一。给出了小齿轮视觉测量系统的测量原理和系统结构。像素当量是视觉测量系统中的关键参数,需要在尺寸评估之前进行校准。将玻璃点校准板应用于系统校准。进行了像素等效校准实验,LED亮度实验,边缘补偿实验和多位置边缘补偿实验。通过比较玻璃点校准板中相邻标记圆的中心距离的物理尺寸与其通过视觉系统获得的像素数之间的比较来确定参数像素当量。为了避免影响光源的亮度,选择了相邻标记圆的中心距,并采用了亚像素技术。在LED亮度实验中选择了合适的LED亮度条件。在这种条件下,通过在校准板的标记圆的直径测量中分析边缘位置偏差来获得边缘偏差的补偿。实验结果表明,像素当量为5.59522μm/ Pixel,边缘偏差补偿为0.54μm。在边缘补偿实验中测量了49个圆形标记的直径,补偿后中心视觉中测得的直径与其物理尺寸之间的最大差为0.3um,在多位置边缘补偿实验中为0.2um。校准方法和实验研究对于设计的小齿轮视觉测量系统非常重要。

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