Three-dimensional shearlet edge analysis

David A. Schug; Glenn R. Easley; Dianne P. O'Leary

doi:10.1117/12.884194

3 June 2011 Three-dimensional shearlet edge analysis

David A. Schug, Glenn R. Easley, Dianne P. O'Leary

Proceedings Volume 8058, Independent Component Analyses, Wavelets, Neural Networks, Biosystems, and Nanoengineering IX; 805808 (2011) https://doi.org/10.1117/12.884194
Event: SPIE Defense, Security, and Sensing, 2011, Orlando, Florida, United States

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.

Citation Download Citation

David A. Schug, Glenn R. Easley, and 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); https://doi.org/10.1117/12.884194

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