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Automatic counting of packaged wafer die based on machine vision

机译:基于机器视觉的已包装晶圆晶片的自动计数

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摘要

This paper presents a robust method to automatically determine the number of packaged dies in the residual wafer image, in which most dies have been removed and packaged. We propose the die segmentation region detection algorithm based on vertically and horizontally cumulative histograms and die detection algorithm based on YCbCr color space. The abnormal cases of fractional dies in the wafer boundary and dropped dies during packaging are considered in the proposed method as well. In the experimental results, the proposed method achieves 100% accuracy in counting the number of packaged dies in the ten test cases.
机译:本文提出了一种鲁棒的方法,可以自动确定残留晶圆图像中已封装裸片的数量,其中大多数裸片已被移除并封装。我们提出了基于垂直和水平累积直方图的模具分割区域检测算法以及基于YCbCr颜色空间的模具检测算法。所提出的方法还考虑了晶片边界上的小片裸片和在封装过程中掉落裸片的异常情况。在实验结果中,该方法在十个测试用例中计数封装模具的数量时达到了100%的精度。

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