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Perpendicularity identification method of image-based welding of components

机译:基于图像的组件焊接的垂直识别方法

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For the purpose of accurately inspecting and measuring perpendicularity of column elements on circuit board, a sub-pixel position technology-based perpendicularity identification method which combines centroid registration of edge contour is proposed. This method, first obtains element's pixel edge of pre-treated pictures using improved Canny algorithm, then rejects noise point and interference edge through edge track method and numbers the elements at last. The element's sub-pixel edge is obtained at the edge subject to crude extraction with the aid of Zernike moment algorithm. On the basis of this, the minimum circumscribed rectangle of the element's contour is obtained to correct the edge and get the areal coordinate. Perform registration between the centroid of the element on PCB board for test purpose and the standard centroid, so as to inspect and measure perpendicularity of each element according to displacement of the centroid. Experience has shown that the method mentioned herein can not only measure the welding skew but also is complete with high identification accuracy.
机译:为了准确地检查和测量电路板上的柱元件的垂直性,提出了一种基于基于基于边缘轮廓配准的基于子像素位置技术的垂直识别方法。这种方法,首先使用改进的Canny算法获取预处理图片的元素的像素边缘,然后通过边缘跟踪方法拒绝噪声点和干扰边缘,最后是元素。借助于Zernike MOLAGE算法,在经过原油提取的边缘获得元件的子像素边缘。在此基础上,获得元素轮廓的最小外接矩形以校正边缘并获得区域坐标。在PCB板上的元素的质心与标准质心执行注册,以根据质心的位移检查和测量每个元素的垂直度。经验表明,本文提到的方法不仅可以测量焊接歪斜,还可以具有高识别精度。

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