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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References
Starck, J.L., Murtagh, F.: Astronomical Image and Signal Processing-Looking at Noise Information and scale. Journal, IEEE Signal Processing Magazine, Astronomical image and signal processing 18, 30–40 (2001)
Christian, D.J., Pollacco, D.L.: The WASP Project and the Super WASP Cameras. Journal, Astronomic Nachrichten 327, 800–802 (2006)
Xu, P., Yao, D.: A study on medical image registration by mutual information with pyramid data structure. Computers in Biology and Medicine 37, 320–327 (2007)
Studholme, C., Hill, D.L.G., Hawks, D.: An overlap invariant entropy measure of 3D medical image alignment. Pattern Recognition 32, 71–86 (1999)
Pluim, P.W., Maintz, B., Viergever, M.A.: Image Registration by Maximization of Combined Mutual Information and Gradient Information. IEEE Transactions on Medical Imaging 19(8), 809–814 (2000)
Kim, Y.S., Lee, H., Ra, B.: Multi-sensor image registration based on intensity and edge orientation information. Pattern Recognition 41, 3356–3365 (2008)
Chen, H.M., Varshney, P.K., Arora, M.K.: Performance of mutual information similarity measure for registration of multitemporal remote sensing images. IEEE Tran. Geoscience and Remote Sensing 41(11), 2445–2454 (2003)
Cunha, A.L., Zhou, J.P., Do, M.N.: The Nonsubsampled Contourlet Transform: Theory, Design, and Applications. Journal, IEEE Transactions on Image Processing 15, 3089–3101 (2006)
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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
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