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

Luciano da Fontoura Costa·Erik Bollt
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Abstract

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.

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Luciano da Fontoura Costa, Erik Bollt. 2006-04-24. A Fast and Accurate Nonlinear Spectral Method for Image Recognition and Registration. https://doi.org/10.1063/1.2358325

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