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An efficient method of occluded solder ball segmentation for automated BGA void defect inspection using X-ray images

机译:使用X射线图像对BGA空洞缺陷进行自动检查的有效焊球分割方法

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One challenge concerning the reliability of ball grid array (BGA) packages assembly is to detect the void defects occurring inside solder balls. Additionally, for use in mass production, an automated inspection system has increasingly become an attractive solution. In practice, the first procedure of this system is required to segment the individual solder balls from the background. Here, we have proposed the efficient method to analyze the X-ray images obtained from arbitrary rotating angles of a printed circuit board (PCB). Specifically, we have succeeded in dealing with the general pattern of solder balls arrangement by applying the Delaunay triangulation technique and verifying the unit cell of periodic lattice. The proposed method is robust against occluded balls caused by some interference and outperforms the conventional method in term of yielding higher accuracy of solder ball segmentation and lower processing time. These conclusions were confirmed by our experiments.
机译:关于球栅阵列(BGA)封装组件可靠性的一项挑战是检测焊球内部出现的空洞缺陷。另外,为了用于批量生产,自动检查系统已越来越成为一种有吸引力的解决方案。实际上,该系统的第一个步骤需要从背景中分割各个焊球。在这里,我们提出了一种有效的方法来分析从印刷电路板(PCB)的任意旋转角度获得的X射线图像。具体而言,我们已经通过应用Delaunay三角剖分技术并验证了周期性晶格的晶胞,成功地处理了焊球排列的一般图案。所提出的方法对于由一些干扰引起的闭塞球是鲁棒的,并且在产生更高的焊球分割精度和更少的处理时间方面优于传统方法。我们的实验证实了这些结论。

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