Curvelet-based method for orientation estimation of particles from optical images
Abstract
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.
Main Authors
Format
Articles
Research article
Published
2014
Series
Subjects
Publication in research information system
Publisher
S P I E - International Society for Optical Engineering
The permanent address of the publication
https://urn.fi/URN:NBN:fi:jyu-201409092755Use this for linking
Review status
Peer reviewed
ISSN
0091-3286
DOI
https://doi.org/10.1117/1.OE.53.3.033109
Language
English
Published in
Optical engineering
Citation
- Sampo, J., Takalo, J., Siltanen, S., Miettinen, A., Lassas, M., & Timonen, J. (2014). Curvelet-based method for orientation estimation of particles from optical images. Optical engineering, 53(3), Article 033109. https://doi.org/10.1117/1.OE.53.3.033109
License
CopyrightCopyright 2014 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.