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Proceedings Paper

Image registration using the shearlet transform
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Paper Abstract

In this paper, we present an algorithm for image registration utilizing the shearlet representation. The shearlet framework allows one to collect multi-scale and multi-directional feature information from multidimensional data that can be used to create key feature vectors that are scale, rotation, and shift invariant. These key feature vectors produce a transformation that will align the sensed image to the source image. We demonstrate our registration algorithm on various medical databases.

Paper Details

Date Published: 26 August 2015
PDF: 11 pages
Proc. SPIE 9597, Wavelets and Sparsity XVI, 95970H (26 August 2015); doi: 10.1117/12.2188816
Show Author Affiliations
Glenn R. Easley, The MITRE Corp. (United States)
Monica Barbu-McInnis, The MITRE Corp. (United States)
Demetrio Labate, Univ. of Houston (United States)

Published in SPIE Proceedings Vol. 9597:
Wavelets and Sparsity XVI
Manos Papadakis; Vivek K. Goyal; Dimitri Van De Ville, Editor(s)

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