A Fast and Accurate Nonlinear Spectral Method for Image Recognition and Registration
<|reference_start|>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.<|reference_end|>
@article{costa2006a,
    title={A Fast and Accurate Nonlinear Spectral Method for Image Recognition and
  Registration},
    author={Luciano da Fontoura Costa and Erik Bollt},
    journal={Appl. Phys. Lett. 89, 174102 (2006)},
    year={2006},
    doi={10.1063/1.2358325},
    archivePrefix={arXiv},
    eprint={cs/0604094},
    primaryClass={cs.DC cond-mat.stat-mech cs.CG cs.CV}
}