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Computer Science > Distributed, Parallel, and Cluster Computing

arXiv:cs/0604094 (cs)
[Submitted on 24 Apr 2006]

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

Authors: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.
Comments: 4 pages, 3 figures
Subjects: Distributed, Parallel, and Cluster Computing (cs.DC); Statistical Mechanics (cond-mat.stat-mech); Computational Geometry (cs.CG); Computer Vision and Pattern Recognition (cs.CV)
Cite as: arXiv:cs/0604094 [cs.DC]
  (or arXiv:cs/0604094v1 [cs.DC] for this version)
  https://doi.org/10.48550/arXiv.cs/0604094
Journal reference: Appl. Phys. Lett. 89, 174102 (2006)
Related DOI: https://doi.org/10.1063/1.2358325

Submission history

From: Luciano da Fontoura Costa [view email]
[v1] Mon, 24 Apr 2006 16:38:01 UTC (270 KB)
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