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ENHANCING CONTRAST SENSITIVITY AND RESOLUTION IN A GRATING INTERFEROMETER BY MACHINE LEARNING
ENHANCING CONTRAST SENSITIVITY AND RESOLUTION IN A GRATING INTERFEROMETER BY MACHINE LEARNING
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机译:通过机器学习增强光栅干涉仪中的对比度灵敏度和分辨率
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摘要
The present disclosure relates to an apparatus for enhancing contrast sensitivity and resolution in a grating interferometer by machine learning, which can improve both image contrast sensitivity and spatial resolution in a grating interferometer by machine learning, the apparatus including: an image acquisition unit; a numerical phantom generation unit, a convolution layer generation unit to extract features from input data; an activation function application calculation unit that can apply a rectified linear activation function to an output value of the convolution calculation to perform smooth repetitive machine learning; a CNN repetitive machine learning unit that corrects a convolution calculation factor while repeatedly performing forward propagation and backward propagation processes; and an image matching output unit that matches and outputs features extracted by repetitive machine learning of the CNN repetitive machine learning unit.
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