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Journal of Electronic Imaging

Centroid calculation using neural networks
Author(s): Glenn S. Himes; Rafael M. Inigo
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Paper Abstract

Centroid calculation provides a means of eliminating translation problems, which is useful for automatic target recognition. A neural network implementation of centroid calculation is described that uses a spatial filter and a Hopfield network to determine the centroid location of an object. Spatial filtering of a segmented window creates a result whose peak value occurs at the centroid of the input data set. A Hopfield network then finds the location of this peak and hence gives the location of the centroid. Hardware implementations of the networks are described and simulation results are provided.

Paper Details

Date Published: 1 January 1992
PDF: 15 pages
J. Electron. Imag. 1(1) doi: 10.1117/12.55180
Published in: Journal of Electronic Imaging Volume 1, Issue 1
Show Author Affiliations
Glenn S. Himes, MITRE Corp. (United States)
Rafael M. Inigo, Univ. of Virginia (United States)

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