Evaluation of holographic interference patterns by artificial neural networks

Thomas M. Kreis; Ralf Biedermann; Werner P. O. Jueptner

doi:10.1117/12.211861

14 June 1995 Evaluation of holographic interference patterns by artificial neural networks

Thomas M. Kreis, Ralf Biedermann, Werner P. O. Jueptner

Proceedings Volume 2544, Interferometry VII: Techniques and Analysis; (1995) https://doi.org/10.1117/12.211861
Event: SPIE's 1995 International Symposium on Optical Science, Engineering, and Instrumentation, 1995, San Diego, CA, United States

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.

Citation Download Citation

Thomas M. Kreis, Ralf Biedermann, and Werner P. O. Jueptner "Evaluation of holographic interference patterns by artificial neural networks", Proc. SPIE 2544, Interferometry VII: Techniques and Analysis, (14 June 1995); https://doi.org/10.1117/12.211861

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