Automatic counting of packaged wafer die based on machine vision

Hsuan T. Chang, R. Pan
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引用次数: 3

Abstract

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.
基于机器视觉的封装晶圆片模具自动计数
本文提出了一种鲁棒的方法来自动确定残余晶圆图像中封装的芯片数量,其中大部分芯片已被去除并封装。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和基于YCbCr颜色空间的模具检测算法。同时,该方法还考虑了晶圆边界部分晶圆和封装过程中晶圆掉落等异常情况。实验结果表明,在10个测试用例中,该方法对封装模具数量的统计准确率达到100%。
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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