---
title: A Fast and Accurate Nonlinear Spectral Method for Image Recognition and Registration
url: https://www.emergentmind.com/papers/0604094
type: paper
arxiv_id: '0604094'
arxiv_url: https://arxiv.org/abs/0604094
published: '2006-04-24'
categories:
- cs.DC
- cond-mat.stat-mech
- cs.CG
- cs.CV
---

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

## 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.