1 January 1992 Centroid calculation using neural networks
Author Affiliations +
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, Glenn S. Himes, Rafael M. Inigo, Rafael M. Inigo, } "Centroid calculation using neural networks," Journal of Electronic Imaging 1(1), (1 January 1992). https://doi.org/10.1117/12.55180 . Submission:
JOURNAL ARTICLE
15 PAGES


SHARE
RELATED CONTENT

Image segmentation of stained glass
Proceedings of SPIE (January 12 2003)
Order-statistic filters on matrices of images
Proceedings of SPIE (March 31 1991)
Image sieves
Proceedings of SPIE (April 05 1995)

Back to Top