6533b85efe1ef96bd12c0815
RESEARCH PRODUCT
Curvelet-based method for orientation estimation of particles from optical images
Jouni SampoJouni SampoJussi TimonenJouni TakaloArttu MiettinenMatti LassasSamuli Siltanensubject
ta114business.industryComputer scienceOrientation (computer vision)ta111General EngineeringReal imageAtomic and Molecular Physics and Opticssymbols.namesakeFourier transformsymbolsCurveletComputer visionArtificial intelligenceRepresentation (mathematics)businessImage resolutiondescription
A method based on the curvelet transform is introduced to estimate the orientation distribution from two-dimensional images 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 better than these tradi- tional methods. © The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this
year | journal | country | edition | language |
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2014-03-27 | Optical engineering |