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Wavelets for volume fusion

Lakshmish, MR and Manohar, S and Chandru, V (1999) Wavelets for volume fusion. In: Proceedings of International Conference on Visual Computing, 23-26 Feb. 1999, Goa, India, pp. 168-177.

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Abstract

Volume fusion is a technique by which two or more “similar" volumes are intermixed to yield a volume which includes the significant features that are present in each of the volumes. Volume fusion has direct applications in several areas, including medicine and computational fluid dynamics. In this paper, we describe a novel wavelet-based algorithm for volume fusion that is an extension to 3D of an algorithm for image fusion presented by H. Li et al. (1995). We present a simple measure for the effectiveness of volume fusion and demonstrate the quality of our algorithm with respect to this measure. A Gaussian-blur technique is used to generate the `similar' volume data sets from a standard skull data set, and these derived data sets have been used to demonstrate our algorithm

Item Type: Conference Paper
Additional Information: Copyright of this article belongs to Kluwer Academic Publishers
Keywords: data visualisation:image processing:sensor fusion:wavelet transforms
Department/Centre: Division of Electrical Sciences > Computer Science & Automation (Formerly, School of Automation)
Date Deposited: 25 Jul 2007
Last Modified: 27 Aug 2008 12:42
URI: http://eprints.iisc.ernet.in/id/eprint/10274

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