Multi-Spectral Stereo Image Matching Based On Adaptive Window

DOI

10.2991/acaai-18.2018.25How to use a DOI?

Keywords

multi-spectral; image registration; mutual information; phase consistency; adaptive window

Abstract

In the multi-spectral image registration, because of the different imaging mechanism, the distribution of image's pixel gray value is non-linear. So the traditional matching algorithm based on gray correlation and image feature cannot be used simply. Since the mutual information measure does not need to assume the relation between the gray of image with different imaging principle, so it is very good in the field of multi-spectral image registration. But because the mutual information only utilizes the statistic characteristic of the gray, the spatial position relation between pixels in the image is neglected. Meanwhile, because of the influence of matching window size, the matching method based on mutual information measure is easy to form false matching. In this paper, we add spatial information by combining phase consistency and mutual information. Besides, the Adaptive window algorithm is used to solve the effect of matching window shape and size on the matching result. Experimental results show that the proposed algorithm has a better matching effect.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Bin Yan
AU  - Xiangshan Kong
AU  - Fuyou Jiang
AU  - Peng Xu
AU  - Hui Yuan
PY  - 2018/03
DA  - 2018/03
TI  - Multi-Spectral Stereo Image Matching Based On Adaptive Window
BT  - Proceedings of the 2018 International Conference on Advanced Control, Automation and Artificial Intelligence (ACAAI 2018)
PB  - Atlantis Press
SP  - 105
EP  - 109
SN  - 1951-6851
UR  - https://doi.org/10.2991/acaai-18.2018.25
DO  - 10.2991/acaai-18.2018.25
ID  - Yan2018/03
ER  -