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首页> 外文会议>IEEE International Conference on Mechatronics and Automation; 20060625-28; Luouang(CN) >A New High-Speed Algorithm for Center and Rotate Angle of Electronic Components
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A New High-Speed Algorithm for Center and Rotate Angle of Electronic Components

机译：一种新的电子零件定心角和旋转角的高速算法

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摘要

A machine vision system for SMT-mounting machine usually involves a two-stage algorithm. It first measures the center and rotate angle of the SMD, and then checks each electronic component The electronic component positioning is an important research content of machine vision in completely automatic SMM. In this paper a new high-speed algorithm of the center and rotate angle is proposed to locate the electronic component. During the locating procedures, it first demarcates the least image area of an electronic component using four limiting checking lines. Then the center and rotate angle of the SMD is calculated using the least area. After that, the precision, speed and characteristic of the new algorithm are researched in this paper. Some other methods such as correct the error, demarcate the least image area of electronic component are also studied. The vision processing software is written in Visual C++ 6.0 and runs on Windows 2000. Experimental results on images is promising, the approximate precision is 1 pixel.The new algorithm combines the principal axis of inertia algorithm and Gray-scale information. It is verified by experiment that this algorithm has a high accuracy, fast execution speed, and can meet the crucial time requirement of a high speed SMT machine.
机译：用于SMT贴装机的机器视觉系统通常涉及两阶段算法。它首先测量SMD的中心和旋转角度，然后检查每个电子零件。电子零件定位是全自动SMM中机器视觉的重要研究内容。本文提出了一种新的中心和旋转角度高速算法来定位电子元件。在定位过程中，首先使用四条限制检查线划定电子元件的最小图像区域。然后，使用最小面积计算SMD的中心和旋转角度。然后，研究了新算法的精度，速度和特性。还研究了其他一些方法，例如校正错误，划定电子元件的最小图像区域。该视觉处理软件是用Visual C ++ 6.0编写的，可在Windows 2000上运行。在图像上的实验结果是有希望的，其近似精度为1像素。该新算法结合了惯性主轴算法和灰度信息。实验证明，该算法具有较高的精度，较快的执行速度，能够满足高速贴片机的关键时间要求。

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