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

Convolution

Spatial filters

Neural networks

Binary data

Device simulation

Image segmentation

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