14 June 1995 Evaluation of holographic interference patterns by artificial neural networks
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Abstract
The possibilities of artificial neural networks in computer-aided evaluation of holographic interference patterns are shown at three examples: demodulation of the interference phase modulo 2(pi) in one and two dimensions by a time-discrete recurrent Hopfield network, fringe tracking by a self organizing feature map network of the Kohonen-type, and the automatic detection of partial patterns due to material defects by a multilayer network trained by backpropagation.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Thomas M. Kreis, Ralf Biedermann, Werner P. O. Jueptner, "Evaluation of holographic interference patterns by artificial neural networks", Proc. SPIE 2544, Interferometry VII: Techniques and Analysis, (14 June 1995); doi: 10.1117/12.211861; https://doi.org/10.1117/12.211861
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