Eur. Phys. J. Appl. Phys.
Volume 65, Number 1, January 2014
|Number of page(s)||10|
|Section||Imaging, Microscopy and Spectroscopy|
|Published online||27 January 2014|
Evaluation of the orientation distribution of fibers from reflection images of fibrous samples
Department of Physics, University of Jyväskylä, P.O. Box 35, 40014 Jyväskylä, Finland
2 Nanoscience Center, University of Jyväskylä, P.O. Box 35, 40014 Jyväskylä, Finland
3 Department of Mathematics and Physics, Lappeenranta University of Technology, P.O. Box 20, 53851 Lappeenranta, Finland
4 Department of Automation Science and Engineering, Tampere University of Technology, P.O. Box 527, 33101 Tampere, Finland
5 Department of Mathematics and Statistics, University of Helsinki, P.O. Box 68, 00014 Helsinki, Finland
a e-mail: email@example.com
Revised: 26 November 2013
Accepted: 18 December 2013
Published online: 27 January 2014
We consider illumination systems and mathematical algorithms for determination of the anisotropy and topographical features of an illuminated surface from its reflection images. As a particular example we study determination of the fiber orientation of paper surface. We also consider illumination systems with multiple light sources, and introduce optimization algorithms that exploit different spectral bands of these light sources. We show that a system of three light sources, e.g., a blue, green and red LED placed in a regular triangular form, efficiently prevents distortion of the above features. It is also easy to implement in applications, e.g., of the paper industry. We furthermore show that a pentagonal illumination system would be even better. However, in this case a five-colour photographic system and the corresponding light sources would be needed.
© The Author(s) 2014
This article is distributed under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0 which permits unrestricted use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.