Automatic extraction of corresponding-points for image registration

Jik-Han Jung; Won-Chul Choi; Dong-Jo Park; Chang-Han Park; Jae-Ik Lee

doi:10.1117/12.777482

17 March 2008 Automatic extraction of corresponding-points for image registration

Jik-Han Jung, Won-Chul Choi, Dong-Jo Park, Chang-Han Park, Jae-Ik Lee

Proceedings Volume 6974, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2008; 69740R (2008) https://doi.org/10.1117/12.777482
Event: SPIE Defense and Security Symposium, 2008, Orlando, Florida, United States

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.

Citation Download Citation

Jik-Han Jung, Won-Chul Choi, Dong-Jo Park, Chang-Han Park, and Jae-Ik Lee "Automatic extraction of corresponding-points for image registration", Proc. SPIE 6974, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2008, 69740R (17 March 2008); https://doi.org/10.1117/12.777482

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