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Proceedings Paper

Three-dimensional shearlet edge analysis
Author(s): David A. Schug; Glenn R. Easley; Dianne P. O'Leary
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Paper Abstract

Volumetric data acquisition and increasingly massive data storage have increased the need to develop better analysis tools for three-dimensional data sets. These volumetric data sets can provide information beyond that contained in standard two-dimensional images. Common strategies to deal with such data sets have been based on sequential use of two-dimensional analysis tools. In this work, we propose using an extension of the wavelet transform known as the shearlet transform for the purpose of edge analysis and detection in three-dimensions. This method takes advantage of the shearlet transform's improved capability to identify edges compared to wavelet-based approaches.

Paper Details

Date Published: 4 June 2011
PDF: 9 pages
Proc. SPIE 8058, Independent Component Analyses, Wavelets, Neural Networks, Biosystems, and Nanoengineering IX, 805808 (4 June 2011); doi: 10.1117/12.884194
Show Author Affiliations
David A. Schug, Univ. of Maryland, College Park (United States)
Glenn R. Easley, System Planning Corp. (United States)
Dianne P. O'Leary, Univ. of Maryland, College Park (United States)


Published in SPIE Proceedings Vol. 8058:
Independent Component Analyses, Wavelets, Neural Networks, Biosystems, and Nanoengineering IX
Harold Szu, Editor(s)

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