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Proceedings Paper

Evaluation of holographic interference patterns by artificial neural networks
Author(s): Thomas M. Kreis; Ralf Biedermann; Werner P. O. Jueptner
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Paper 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.

Paper Details

Date Published: 14 June 1995
PDF: 14 pages
Proc. SPIE 2544, Interferometry VII: Techniques and Analysis, (14 June 1995); doi: 10.1117/12.211861
Show Author Affiliations
Thomas M. Kreis, Bremer Institut fuer Angewandte Strahltechnik (Germany)
Ralf Biedermann, Bremer Institut fuer Angewandte Strahltechnik (Germany)
Werner P. O. Jueptner, Bremer Institut fuer Angewandte Strahltechnik (Germany)


Published in SPIE Proceedings Vol. 2544:
Interferometry VII: Techniques and Analysis
Malgorzata Kujawinska; Ryszard J. Pryputniewicz; Mitsuo Takeda, Editor(s)

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