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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Healy, D.M., Rohge, G.K.: Fast global image registration using random projections. In: Proc. Biomedical Imaging: From Nano to Macro., pp. 476–479 (2007)
Itoh, H., Lu, S., Sakai, T., Imiya, A.: Global image registration by fast random projection. In: Proc. International Symposium on Visual Computing, pp. 23–32 (2011)
Sakai, T., Imiya, A.: Practical algorithms of spectral clustering: Toward large-scale vision-based motion analysis. In: Machine Learning for Vision-Based Motion Analysis, pp. 3–26. Springer (2011)
Zitová, B., Flusser, J.: Image registration methods: a survey. Image and Vision Computing 21, pp. 977–1000 (2003)
Modersitzki, J.: Numerical Methods for Image Registration. Oxford university press (2004)
Goshtasby, A.: Image Registration: Principles, Tools and Methods. Springer (2012)
Vempala, S.S.: The Random Projection Method, vol. 65. American Mathematical Society (2004)
Hjelle, Ø., Dæhlen, M.: Triangulations and Applications. Springer (2006)
Hartley, R.I., Zisserman, A.: Multiple View Geometry in Computer Vision. Cambridge University Press (2004)
Mahajan, D., Huang, F.C., Matusik, W., Ramamoorthi, R., Belhumeur, P.: Moving gradients: A path-based method for plausible image interpolation. ACM Transactions on Graphics 28, 42:1–42:11 (2009)
Cocosco, C., Kollokian, V., Kwan, R.S., Evans, A.: Brainweb. online interface to a 3D MRI simulated brain database. NeuroImage 5, 425 (1997)
Brainweb, http://www.bic.mni.mcgill.ca/brainweb/
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
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
Download citation
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)