Centroid calculation using neural networks

Glenn S. Himes; Rafael M. Inigo

doi:10.1117/12.55180

1 January 1992 Centroid calculation using neural networks

Glenn S. Himes, Rafael M. Inigo

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Journal of Electronic Imaging, Vol. 1, Issue 1, (January 1992). https://doi.org/10.1117/12.55180

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.

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Glenn S. Himes and Rafael M. Inigo "Centroid calculation using neural networks," Journal of Electronic Imaging 1(1), (1 January 1992). https://doi.org/10.1117/12.55180

Published: 1 January 1992

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