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Interpolation of Reference Images in Sparse Dictionary for Global Image Registration

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 7432))

Abstract

In this paper, we introduce an efficient global image registration for medical images. We use the nearest neighbour method for searching appropriate reference image. The NNS based image registration uses pre-computed references in the image-dictionary as the targets of image registration and search the best matched reference using NNS. For speeding up, we apply the random projection to image for reduction of the image size. For the reduction of the number of data in the dictionary, we use interpolation of references images in the image dictionary.

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© 2012 Springer-Verlag Berlin Heidelberg

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Itoh, H., Lu, S., Sakai, T., Imiya, A. (2012). Interpolation of Reference Images in Sparse Dictionary for Global Image Registration. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2012. Lecture Notes in Computer Science, vol 7432. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33191-6_65

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  • DOI: https://doi.org/10.1007/978-3-642-33191-6_65

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33190-9

  • Online ISBN: 978-3-642-33191-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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