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CALETKA, P. PECH, O. JEDELSKÝ, J. LÍZAL, F. JÍCHA, M.
Original Title
Comparison of methods for flow border detection in images of smoke visualization
Type
conference paper
Language
English
Original Abstract
A separation of the flow region from the surroundings is an essential step in the analysis of smoke visualization images. The separation can be performed using several detection methods from the image segmentation group. This paper deals with the border detection of the air flow downstream of a benchmark automotive vent using different threshold-based detection methods. An assessment of the methods on the basis of the resulting image quality is also addressed. The quality level depends on the quantity and brightness of disturbances in the background area. The disturbance is usually an isolated region of smoke, which naturally cannot be a part of the flow. Three representative images of different quality levels were selected for the detection, and three methods were used for the evaluation. Each of the methods was used to determine the threshold differently (by the level, by the ratio, and by the change of brightness). It is demonstrated that the change-based method with an appropriately selected parameter is the most convenient for images with the worst quality level while level- and ratio-based methods are only applicable for images of good quality.
Keywords
Car vent, smoke visualization, border detection
Authors
CALETKA, P.; PECH, O.; JEDELSKÝ, J.; LÍZAL, F.; JÍCHA, M.
Released
28. 3. 2016
Publisher
EDP Sciences
Location
Francie
ISBN
2100-014X
Periodical
EPJ Web of Conferences
Year of study
114
State
French Republic
Pages from
1
Pages to
4
Pages count
URL
http://www.epj-conferences.org/articles/epjconf/abs/2016/09/epjconf_efm2016_02009/epjconf_efm2016_02009.html
Full text in the Digital Library
http://hdl.handle.net/11012/70019
BibTex
@inproceedings{BUT119741, author="Petr {Caletka} and Ondřej {Pech} and Jan {Jedelský} and František {Lízal} and Miroslav {Jícha}", title="Comparison of methods for flow border detection in images of smoke visualization", booktitle="EPJ Web of Conferences", year="2016", journal="EPJ Web of Conferences", volume="114", pages="1--4", publisher="EDP Sciences", address="Francie", doi="10.1051/epjconf/201611402009", issn="2100-014X", url="http://www.epj-conferences.org/articles/epjconf/abs/2016/09/epjconf_efm2016_02009/epjconf_efm2016_02009.html" }