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

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. PACS numbers: 87.57.Nk, 87.57.-s, 89.75.Kd 1 

• Type: Journal
• Year: 2006
• Where: CORR
• Authors: Luciano da Fontoura Costa, Erik Bollt
• Keywords: CORR 2006, Education, Fast Fourier Transform, Gray-level Intensity, Larger Signal Space