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

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dc.creatorCosta, Luciano da Fontoura
dc.creatorBollt, Erik
dc.date2006-04-24
dc.date.accessioned2026-07-07T08:30:37Z
dc.date.available2026-07-07T08:30:37Z
dc.descriptionThis 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.
dc.description4 pages, 3 figures
dc.identifierhttps://arxiv.org/abs/cs/0604094
dc.identifierhttp://arxiv.org/abs/cs/0604094
dc.identifierAppl. Phys. Lett. 89, 174102 (2006)
dc.identifierdoi:10.1063/1.2358325
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/138280
dc.subjectDistributed, Parallel, and Cluster Computing
dc.subjectStatistical Mechanics
dc.subjectComputational Geometry
dc.subjectComputer Vision and Pattern Recognition
dc.titleA Fast and Accurate Nonlinear Spectral Method for Image Recognition and Registration
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