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THE CHEMICAL STAIN INSPECTION OF POLYSILICON SOLAR CELL WAFER BY THE FUZZY THEORY METHOD

机译:基于模糊理论的多晶硅太阳能电池片化学污点检测

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This study proposed an automatic optical inspection (AOI) technique to improve the inspection of chemical stains on solar wafers. Poly-silicon solar cell wafers were inspected for chemical stains, and the inspection was rapid and stable. The system used a Iaser-reflection-point-based AOI method for solar wafer chemical stain inspection. Based on the fuzzy theory, the image binarization algorithm could efficiently filter irrelevant image information, and the back-propagation method was also utilized to determine if the image was stained. The inspection algorithm integrated fuzzy theory and the back-propagation method in order to shorten the comparison time and quickly find the target. The experiment proved that the validity of the proposed method could achieve a recognition rate of 98% from among 1000 images.
机译:这项研究提出了一种自动光学检查(AOI)技术,以改善对太阳能晶片上化学污渍的检查。检查了多晶硅太阳能电池晶片的化学污点,检查迅速且稳定。该系统使用基于Iaser反射点的AOI方法进行太阳能晶片化学污点检查。基于模糊理论,图像二值化算法可以有效过滤不相关的图像信息,并利用反向传播方法确定图像是否被染色。该检查算法将模糊理论和反向传播方法相结合,以缩短比较时间并快速找到目标。实验证明,该方法在1000幅图像中的识别率达到98%。

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