3 June 2011 Three-dimensional shearlet edge analysis
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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.
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David A. Schug, Glenn R. Easley, Dianne P. O'Leary, "Three-dimensional shearlet edge analysis", Proc. SPIE 8058, Independent Component Analyses, Wavelets, Neural Networks, Biosystems, and Nanoengineering IX, 805808 (3 June 2011); doi: 10.1117/12.884194; https://doi.org/10.1117/12.884194
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