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Data Enhancement for Convolution Neural Network-Based Defect Inspection

机译:基于卷积神经网络的缺陷检测数据增强

摘要

A system and method for providing enhanced input data to a convolutional neural network (CNN) is disclosed. The wafer image is received at the processor. The wafer image is divided into a plurality of reference images each associated with a die in a wafer image. A test image is received. A plurality of difference images are generated by obtaining the difference between the test image and the reference image. The reference image and the difference image are aggregated into augmented input data for CNN and provided to CNN.
机译:公开了一种用于向卷积神经网络(CNN)提供增强的输入数据的系统和方法。晶片图像在处理器处接收。晶片图像被分成多个参考图像,每个参考图像与晶片图像中的管芯相关联。收到测试图像。通过获得测试图像和参考图像之间的差异来生成多个差异图像。参考图像和差异图像被聚合为CNN的增强输入数据,并提供给CNN。

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