A new method to extract BGA solder balls in complex background X-ray image based on coordinate transformation

Liu Jingyuan, Fang Liyong, Hu Dongcai, Qi Xiaoshi, Deng Yangquan
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引用次数: 1

Abstract

In the detection of quality of BGA soldering based on AXI (Automated X-Ray Inspection), it’s critical important to extract solder balls accurately. Although the existing methods can extract most of the solder balls in X-ray images, they are sensitive to parameters and could only be used in the case of simple background. In order to solve this problem, a new method based on coordinate transformation is proposed in this paper. In this method, original X-ray images in Cartesian coordinate system are transformed in to polar coordinate firstly, so the edge of solder ball would be transformed from a curve to a straight line. Secondly a nonparametric edge detection could be used to extract the edge of solder balls. Result in Polar coordinate system would be transformed into original Cartesian coordinate system, finally. Through the comparison of two experiments, it is confirmed that solder balls in X-ray image could be extracted by proposed method precisely, while the proposed method has much more adaptability than other traditional methods. When proposed methods combined with other method such as the detection of voids in solder balls, the detection would be effective and improve the performance of AXI system ultimately.
一种基于坐标变换的复杂背景x射线图像中BGA焊球提取新方法
在基于AXI (Automated X-Ray Inspection)的BGA焊接质量检测中,准确提取焊锡球至关重要。现有方法虽然可以提取x射线图像中的大部分锡球,但对参数比较敏感,只能在背景简单的情况下使用。为了解决这一问题,本文提出了一种基于坐标变换的新方法。该方法首先将直角坐标系下的原始x射线图像转换为极坐标,从而将焊锡球的边缘由曲线转换为直线。其次,采用非参数边缘检测方法提取焊球边缘。最后将极坐标变换为原始的笛卡尔坐标系。通过两个实验的对比,证实了该方法能够精确提取x射线图像中的焊锡球,并且该方法比其他传统方法具有更强的适应性。当所提出的方法与其他方法(如检测焊锡球中的空隙)相结合时,将有效地提高AXI系统的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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