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An automatic inspection of SMT rectangular chips based on PCA algorithm

机译:基于PCA算法的SMT矩形芯片自动检查

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In this paper, we present a practical approach to automatic visual inspection of SMT PCBs. There are thousands of chip components mounted on the notebook SMT PCB. The images of those chip components could not be exactly same due to the variance of shift, orientation, scale, and illumination condition. Even so, we could not memorize all kinds of inspection reference values for the different conditions. Most of inspection algorithms with fixed window template such as template matching, Fourier analysis, OCR, etc., do not show good performance for images with shifted, oriented, scaled, and variable illumination conditions. We propose a practical automatic inspection method of SMT rectangular chips; correcting the image variance of shift, orientation, and scale with practical speed, and updating the decision reference values in the inspection process. The performance of the proposed method is tested on numerous samples of rectangular chips on SMT PCB.
机译:在本文中,我们提出了一种实用的方法来自动目视检查SMT PCB。笔记本电脑SMT PCB上安装了数千种芯片组件。由于移位,方向,尺度和照明条件的方差,这些芯片组件的图像无法完全相同。即便如此,我们也无法记住不同条件的各种检查参考值。具有固定窗口模板的大多数检查算法,如模板匹配,傅里叶分析,OCR等,对具有移位,定向,缩放和可变照明条件的图像没有显示出良好的性能。我们提出了一种实用的SMT矩形芯片的自动检查方法;以实际速度校正移位,方向和比例的图像方差,并在检查过程中更新决策参考值。在SMT PCB上的许多矩形芯片上测试了所提出的方法的性能。

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