1 January 1992 Centroid calculation using neural networks
Author Affiliations +
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:


Image segmentation of stained glass
Proceedings of SPIE (January 13 2003)
Line preserving adaptive median filtering
Proceedings of SPIE (September 21 1994)
Gray-scale image processing using topological operators
Proceedings of SPIE (September 23 1999)
Order-statistic filters on matrices of images
Proceedings of SPIE (April 01 1991)
Coupled lattice neural network for blind deconvolution
Proceedings of SPIE (April 01 1998)

Back to Top