Acta Univ. Agric. Silvic. Mendelianae Brun. 2014, 62(5), 979-984 | DOI: 10.11118/actaun201462050979
Optical Analysis of Fractional Particles
- Department of Informatics and Automation Technology, Faculty of Environmental and Manufacturing Technology, Technical University in Zvolen, T. G. Masaryka 24, 960 53 Zvolen, Slovak Republic
Analysis of fractal particles, like sawdust or dust, by sieve method is rather difficult in terms of the measuring system and time-consuming at samples evaluation. The results give only partial information of the particle dimensions in an examinable sample. Modern optical methods of fractal particles analysis in the industry complexly acquaint with the sample; they provide information about the particle rate and size, average, maximum and minimum occurring dimension, particle surface, and shape composition of a sample.
In our experiment were evaluated wood particles with IP camera IQEye 702. Camera captures the scene with sawdust and send video via ethernet. In program Matlab is in time captured in this video one picture, which is further processed and in it are found measured particles. Subsequently are measured required parameters of captured particles.
Keywords: particle dimensions, sawdust, camera, image analysis, MATLAB
Published: December 2, 2014 Show citation
References
- HOFFMANN, G. 2006. Interpolations for image warping. [Online]. Available at: http://www.fho-emden.de/~hoffmann/bicubic03042002.pdf. [Accessed June 2014].
- HRČKOVÁ, M. 2012. Vplyv predspracovania na analýzu špeciálnych obrazov. Acta facultatis technicae, 17(2): 35-43.
- IRŠA, A., 2006: Zákerný prach. Rezbárstvo.
- KOLEDA, P., KOLEDA, P. 2013. Optimal light intensity determination at optical analysis of fractional particles. In: Technológia Europea 2013. Medzinárodní vědecká konference k problematice technologických a inovačních procesů. Hradec Králové, Czech Republic. 2013. 5-12.
- KOPPAL, S. J., ZITNICK, C. L., COHEN, M. F. et al. 2011. A viewer-Centric Editor for 3D Movies. In: IEEE Computer Graphics and Applications. IEEE Computer Society, Los Alamitos, CA, 2011.
Go to original source...
- LUCZAK, A., MAAKOWIAK, S., KARWOWSKI, D. et al. 2012. A Large Barrel Distortion in an Acquisition System for Multifocal Images Extraction. Computer Vision and Graphics. International Converence, ICCVG 2012. Warsaw, Poland, pp. 164-171.
Go to original source...
- MATHWORKS. 1994. Product documentation. [Online]. Available at: http://www.mathworks.com/help/techdoc/ref/image_props.htm. First published 1994 (Accessed May 2014).
- PIVARČIOVÁ, E., BOŽEK, P. 2014. Industrial production surety factor increasing by a system of fingerprint verification. In: ISEEE 2014: proceedings. International conference on Information Science, Electronics and Electrical Engineering. April 26-28, 2014, Sapporo City, Hokkaido, Japan. Beijing: IEEE, p. 5.
This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY NC ND 4.0), which permits non-comercial use, distribution, and reproduction in any medium, provided the original publication is properly cited. No use, distribution or reproduction is permitted which does not comply with these terms.