Optical Analysis of Fractional Particles
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 particle...
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Mendel University Press
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Online Access: | https://acta.mendelu.cz/62/5/0979/ |
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doaj-6d2c230183c14b878f68849e738a4cca2020-11-24T20:47:03ZengMendel University PressActa Universitatis Agriculturae et Silviculturae Mendelianae Brunensis1211-85162464-83102014-01-0162597998410.11118/actaun201462050979Optical Analysis of Fractional ParticlesPavol Koleda0Ľubomír Naščák1Department of Informatics and Automation Technology, Faculty of Environmental and Manufacturing Technology, Technical University in Zvolen, T. G. Masaryka 24, 960 53 Zvolen, Slovak RepublicDepartment of Informatics and Automation Technology, Faculty of Environmental and Manufacturing Technology, Technical University in Zvolen, T. G. Masaryka 24, 960 53 Zvolen, Slovak RepublicAnalysis 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.https://acta.mendelu.cz/62/5/0979/particle dimensionssawdustcameraimage analysisMATLAB |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Pavol Koleda Ľubomír Naščák |
spellingShingle |
Pavol Koleda Ľubomír Naščák Optical Analysis of Fractional Particles Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis particle dimensions sawdust camera image analysis MATLAB |
author_facet |
Pavol Koleda Ľubomír Naščák |
author_sort |
Pavol Koleda |
title |
Optical Analysis of Fractional Particles |
title_short |
Optical Analysis of Fractional Particles |
title_full |
Optical Analysis of Fractional Particles |
title_fullStr |
Optical Analysis of Fractional Particles |
title_full_unstemmed |
Optical Analysis of Fractional Particles |
title_sort |
optical analysis of fractional particles |
publisher |
Mendel University Press |
series |
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis |
issn |
1211-8516 2464-8310 |
publishDate |
2014-01-01 |
description |
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. |
topic |
particle dimensions sawdust camera image analysis MATLAB |
url |
https://acta.mendelu.cz/62/5/0979/ |
work_keys_str_mv |
AT pavolkoleda opticalanalysisoffractionalparticles AT lubomirnascak opticalanalysisoffractionalparticles |
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1716811323495415808 |