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基于变换矩阵的BGA X-ray图像倾斜识别

李井元 方黎勇 胡栋材 齐晓世

李井元, 方黎勇, 胡栋材, 等. 基于变换矩阵的BGA X-ray图像倾斜识别[J]. 强激光与粒子束, 2018, 30: 109001. doi: 10.11884/HPLPB201830.180092
引用本文: 李井元, 方黎勇, 胡栋材, 等. 基于变换矩阵的BGA X-ray图像倾斜识别[J]. 强激光与粒子束, 2018, 30: 109001. doi: 10.11884/HPLPB201830.180092
Li Jingyuan, Fang Liyong, Hu Dongcai, et al. A recognition and correction method of declining BGA X-ray image based on transformation matrix[J]. High Power Laser and Particle Beams, 2018, 30: 109001. doi: 10.11884/HPLPB201830.180092
Citation: Li Jingyuan, Fang Liyong, Hu Dongcai, et al. A recognition and correction method of declining BGA X-ray image based on transformation matrix[J]. High Power Laser and Particle Beams, 2018, 30: 109001. doi: 10.11884/HPLPB201830.180092

基于变换矩阵的BGA X-ray图像倾斜识别

doi: 10.11884/HPLPB201830.180092
基金项目: 

国家自然科学基金项目 61573082

详细信息
    作者简介:

    李井元(1994—),男,硕士研究生,从事计算机视觉等方面的研究; 13096353290@163.com

    通讯作者:

    方黎勇(1981—),男,副教授,从事无损检测与机器视觉等方面的研究; fangliyong@uestc.edu.cn

  • 中图分类号: TP391.41

A recognition and correction method of declining BGA X-ray image based on transformation matrix

  • 摘要: 针对基于X-Ray的焊球阵列封装(BGA)焊接缺陷检测中,现有的图像处理算法无法有效处理PCB意外倾斜的问题,提出了一种自动判断BGA焊点X射线图像倾斜程度并进行校正的方法。首先根据BGA焊点阵列排布的特性恢复出原始图像中的结构信息,然后使用广义逆矩阵求解出理想正视图像与实际倾斜图像之间的变换矩阵,最后对倾斜图像进行逆变换以得到理想正视图像,并使用变换矩阵估计出PCB的倾斜程度。实验针对正视与倾斜的BGA焊点的X射线图像,运用所提方法,准确判别出图像的倾斜程度,并进行了校正。此方法既可以作为一种图像质量评价算法,在BGA X-Ray缺陷检测中判断图像是否为需要的正视图像;也可以作为一种图像自动校正算法,提升基于X射线的自动检测系统的适应性。
  • 图  1  过程示意图

    Figure  1.  Schematic diagram of proposed method

    图  2  结构信息的重建过程

    Figure  2.  Process of the reconstruction of structural information

    图  3  扩展每个焊点的ROI

    Figure  3.  Extend ROI of each solder ball

    图  4  目标焊点的提取

    Figure  4.  Extraction of target solder balls

    图  5  视角变换

    Figure  5.  Transformation of views

    图  6  倾斜图像的实验过程

    Figure  6.  Experimental process of tilted image

    图  7  正视图像的实验过程

    Figure  7.  Experimental process of front view image

    表  1  实验结果

    Table  1.   Results of experiments

    yaw angle/(°) pitch angle/(°) roll angle/(°)
    image a: estimated -11.646 8 0.012 4 -0.000 3
    image a: actual -10 0 0
    image b: estimated -0.631 1 0.000 8 -0.000 4
    image b: actual 0 0 0
    下载: 导出CSV
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    Ouyang Zhaoxuan. Geometry correction for X-ray image. Guangzhou: South China University of Technology, 2010
    [7] Yuan Zehui, Li Shizhong. X-ray image distortion correction based on SVR[J]. Journal of Measurement Science and Sinstrumentation, 2015(3): 302-306.
    [8] 鲜飞. PCB组装领域中的X-射线检测技术[J]. 印制电路信息, 2010(11): 66-70. https://www.cnki.com.cn/Article/CJFDTOTAL-YZDL201011016.htm

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    [9] Yang M, Zhang J, Yuan M, et al. Calibration method of projection coordinate system for X-ray cone-beam laminography scanning system[J]. Ndt & E International, 2012, 52(4): 16-22. https://www.sciencedirect.com/science/article/pii/S0963869512001065
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出版历程
  • 收稿日期:  2018-03-30
  • 修回日期:  2018-06-18
  • 刊出日期:  2018-10-15

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