Comparison of methods for flow border detection in images of smoke visualization

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F15%3APU116898" target="_blank" >RIV/00216305:26210/15:PU116898 - isvavai.cz</a>
Result on the web
<a href="http://www.epj-conferences.org/articles/epjconf/abs/2016/09/epjconf_efm2016_02009/epjconf_efm2016_02009.html" target="_blank" >http://www.epj-conferences.org/articles/epjconf/abs/2016/09/epjconf_efm2016_02009/epjconf_efm2016_02009.html</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1051/epjconf/201611402009" target="_blank" >10.1051/epjconf/201611402009</a>

Result language
angličtina
Original language name
Comparison of methods for flow border detection in images of smoke visualization
Original language description
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.
Czech name
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Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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