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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

EPJ Web of Conferences

ISBN

—

ISSN

2100-014X

e-ISSN

—

Počet stran výsledku

4

Strana od-do

1-4

Název nakladatele

EDP Sciences

Místo vydání

Francie

Místo konání akce

Praha

Datum konání akce

17. 11. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000400395300011