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Journal of Sensors
Volume 2016, Article ID 3789570, 9 pages
http://dx.doi.org/10.1155/2016/3789570
Research Article

A Registration Scheme for Multispectral Systems Using Phase Correlation and Scale Invariant Feature Matching

1Key Laboratory of 3D Information Acquisition and Application of Ministry of Education, Capital Normal University, Beijing 100048, China
2School of Mechanical Engineering & Automation, Beihang University, Beijing 100083, China

Received 3 July 2015; Revised 20 November 2015; Accepted 24 November 2015

Academic Editor: Hairong Qi

Copyright © 2016 Hanlun Li et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

In the past few years, many multispectral systems which consist of several identical monochrome cameras equipped with different bandpass filters have been developed. However, due to the significant difference in the intensity between different band images, image registration becomes very difficult. Considering the common structural characteristic of the multispectral systems, this paper proposes an effective method for registering different band images. First we use the phase correlation method to calculate the parameters of a coarse-offset relationship between different band images. Then we use the scale invariant feature transform (SIFT) to detect the feature points. For every feature point in a reference image, we can use the coarse-offset parameters to predict the location of its matching point. We only need to compare the feature point in the reference image with the several near feature points from the predicted location instead of the feature points all over the input image. Our experiments show that this method does not only avoid false matches and increase correct matches, but also solve the matching problem between an infrared band image and a visible band image in cases lacking man-made objects.