A Fast and Accurate Nonlinear Spectral Method for Image Recognition and Registration

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This article addresses the problem of two- and higher dimensional pattern matching, i.e. the identification of instances of a template within a larger signal space, which is a form of registration. Unlike traditional correlation, we aim at obtaining more selective matchings by considering more strict comparisons of gray-level intensity. In order to achieve fast matching, a nonlinear thresholded version of the fast Fourier transform is applied to a gray-level decomposition of the original 2D image. The potential of the method is substantiated with respect to real data involving the selective identification of neuronal cell bodies in gray-level images.
4 pages, 3 figures

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Distributed, Parallel, and Cluster Computing, Statistical Mechanics, Computational Geometry, Computer Vision and Pattern Recognition

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http://salesiana.dossiersoluciones.com/handle/123456789/138280

Consulte el texto completo en el siguiente enlace:

https://arxiv.org/abs/cs/0604094
 http://arxiv.org/abs/cs/0604094
 Appl. Phys. Lett. 89, 174102 (2006)
 doi:10.1063/1.2358325

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arXiv