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Proceedings Paper

Automatic extraction of corresponding-points for image registration
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Paper Abstract

Recently, multi-sensor image fusion systems and related applications have been widely investigated. In an image fusion system, robust and accurate multi-modal image registration is essential. In the conventional method, the image registration process starts with manually-pointed corresponding pairs in both sensored images. Using these corresponding pairs, a transform matrix is initialized and refined through an optimization process. In this paper, we propose a new automatic extraction method for such corresponding pairs. The Harris corner detector is employed to extract feature points in both EO/IR images individually. Patches around the detected feature points are matched with a probabilistic criterion, mutual information (MI), which is a preferred measure for image registration due to its robust and accurate performance. Simulation results show that the proposed scheme has a low time complexity and extracts corresponding pairs well.

Paper Details

Date Published: 17 March 2008
PDF: 7 pages
Proc. SPIE 6974, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2008, 69740R (17 March 2008); doi: 10.1117/12.777482
Show Author Affiliations
Jik-Han Jung, KAIST (South Korea)
Won-Chul Choi, KAIST (South Korea)
Dong-Jo Park, KAIST (South Korea)
Chang-Han Park, Samsung Thales Co., Ltd. (South Korea)
Jae-Ik Lee, Samsung Thales Co., Ltd. (South Korea)

Published in SPIE Proceedings Vol. 6974:
Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2008
Belur V. Dasarathy, Editor(s)

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