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Proceedings Paper

Curvelet-based method for orientation estimation of particles
Author(s): Jouni Sampo; Jouni J. Takalo; Samuli Siltanen; Matti Lassas; Jussi Timonen; Arttu Miettinen
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Paper Abstract

A method based on the curvelet transform is introduced for estimating from two-dimensional images the orientation distribution of small anisotropic particles. Orientation of fibers in paper is considered as a particular application of the method. Theoretical aspects of the suitability of this method are discussed and its efficiency is demonstrated with simulated and real images of fibrous systems. Comparison is made with two traditionally used methods of orientation analysis, and the new curvelet-based method is shown to perform clearly better than these traditional methods.

Paper Details

Date Published: 26 September 2013
PDF: 16 pages
Proc. SPIE 8858, Wavelets and Sparsity XV, 885825 (26 September 2013); doi: 10.1117/12.2025342
Show Author Affiliations
Jouni Sampo, Lappeenranta Univ. of Technology (Finland)
Jouni J. Takalo, Univ. of Jyväskylä (Finland)
Samuli Siltanen, Univ. of Helsinki (Finland)
Matti Lassas, Univ. of Helsinki (Finland)
Jussi Timonen, Univ. of Jyväskylä (Finland)
Arttu Miettinen, Univ. of Jyväskylä (Finland)


Published in SPIE Proceedings Vol. 8858:
Wavelets and Sparsity XV
Dimitri Van De Ville; Vivek K. Goyal; Manos Papadakis, Editor(s)

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