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Images Registration Based on Mutual Information and Nonsubsampled Contourlet Transform

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7003))

Abstract

Aiming at the problem that how to improve the accuracy of image registration, this paper presents an approach for image registration based on mutual information and non-subsampled contourlet transform. First of all, the reference image and the floating image are decomposed with nonsubsampled contourlet transform. Secondly, register approximate component of the floating image from the highest level to the lowest level based mutual information. Finally, the new image is obtained. Experimental results on remote sensing images demonstrate that the presented method can improve the accuracy.

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© 2011 Springer-Verlag Berlin Heidelberg

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Tian, D., Wen, Xb., Xu, Hx., Lei, M. (2011). Images Registration Based on Mutual Information and Nonsubsampled Contourlet Transform. In: Deng, H., Miao, D., Lei, J., Wang, F.L. (eds) Artificial Intelligence and Computational Intelligence. AICI 2011. Lecture Notes in Computer Science(), vol 7003. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23887-1_38

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  • DOI: https://doi.org/10.1007/978-3-642-23887-1_38

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23886-4

  • Online ISBN: 978-3-642-23887-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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