Image registration using the shearlet transform

Glenn R. Easley; Monica Barbu-McInnis; Demetrio Labate

doi:10.1117/12.2188816

26 August 2015 Image registration using the shearlet transform

Glenn R. Easley, Monica Barbu-McInnis, Demetrio Labate

Proceedings Volume 9597, Wavelets and Sparsity XVI; 95970H (2015) https://doi.org/10.1117/12.2188816
Event: SPIE Optical Engineering + Applications, 2015, San Diego, California, United States

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.

Citation Download Citation

Glenn R. Easley, Monica Barbu-McInnis, and Demetrio Labate "Image registration using the shearlet transform", Proc. SPIE 9597, Wavelets and Sparsity XVI, 95970H (26 August 2015); https://doi.org/10.1117/12.2188816

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