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Moire interferometer measurement system and moire interferometer measurement method using artificial intelligence

机译:莫尔干涉仪测量系统及基于人工智能的莫尔干涉仪测量方法

摘要

The present invention relates to a moiré interferometer measuring system and a moiré interferometer measuring method using artificial intelligence that can predict the result image by increasing the measurement resolution of the measured image measured by the moiré interferometer through deep learning using artificial intelligence, and to measure a predetermined shape An input unit for inputting a first image having a first resolution measured by a moiré interferometer as input data, and a phase shifting method to increase the measurement resolution of the measured image measured by the moire interferometer to store in advance a deep learning model derived by deep learning at least one result image of which the measurement resolution of the measurement image is increased, and apply the deep learning model to the first image input from the input unit to apply the first A processing unit for predicting a result for a second image having a second resolution higher than the first resolution from the first image having a resolution, and an output unit for outputting the second image predicted by the processing unit as output data there is.
机译:本发明涉及一种使用人工智能的莫尔干涉仪测量系统和莫尔干涉仪测量方法,其可以通过使用人工智能的深度学习提高由莫尔干涉仪测量的测量图像的测量分辨率来预测结果图像,以及为了测量预定形状,输入单元用于输入具有由莫尔干涉仪测量的第一分辨率的第一图像作为输入数据,以及一种相移方法,用于提高由莫尔干涉仪测量的测量图像的测量分辨率,以预先存储通过深度学习获得的深度学习模型,该深度学习模型通过深度学习获得,其中,测量图像的测量分辨率增加,以及将深度学习模型应用于从输入单元输入的第一图像,以应用第一处理单元,用于从具有分辨率的第一图像预测具有高于第一分辨率的第二分辨率的第二图像的结果,以及输出单元,用于输出由处理单元预测的第二图像作为存在的输出数据。

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