Comparison of Appearance-Based and Geometry-Based Bubble Detectors

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F14%3APU112065" target="_blank" >RIV/00216305:26230/14:PU112065 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1007/978-3-319-11331-9_73" target="_blank" >http://dx.doi.org/10.1007/978-3-319-11331-9_73</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-11331-9_73" target="_blank" >10.1007/978-3-319-11331-9_73</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Comparison of Appearance-Based and Geometry-Based Bubble Detectors

Popis výsledku v původním jazyce

Bubble detection is a complicated tasks since varying lighting conditions changes considerably the appearance of bubbles in liquid. The two common techniques to detect circular objects such as bubbles, the geometry-based and appearance-based approaches, have their advantages and weaknesses. The geometry-based methods often fail to detect small blob-like bubbles that do not match the used geometrical model, and appearance-based approaches are vulnerable to appearance changes caused by, e.g., illumination. In this paper, we compare a geometry-based concentric circular arrangements (CCA) and appearance-based sliding window methods as well as their combinations in terms of bubble detection, gas volume computation, and size distribution estimation. The best bubble detection performance was achieved with the sliding window method whereas the most precise volume estimate was produced by the CCA method. The combination of the two approaches gave only a minor advantage compared to the base methods.

Název v anglickém jazyce

Comparison of Appearance-Based and Geometry-Based Bubble Detectors

Popis výsledku anglicky

Bubble detection is a complicated tasks since varying lighting conditions changes considerably the appearance of bubbles in liquid. The two common techniques to detect circular objects such as bubbles, the geometry-based and appearance-based approaches, have their advantages and weaknesses. The geometry-based methods often fail to detect small blob-like bubbles that do not match the used geometrical model, and appearance-based approaches are vulnerable to appearance changes caused by, e.g., illumination. In this paper, we compare a geometry-based concentric circular arrangements (CCA) and appearance-based sliding window methods as well as their combinations in terms of bubble detection, gas volume computation, and size distribution estimation. The best bubble detection performance was achieved with the sliding window method whereas the most precise volume estimate was produced by the CCA method. The combination of the two approaches gave only a minor advantage compared to the base methods.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

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)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2014

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proccedings of Internation Conference on Computer Vision and Graphics

ISBN

978-3-319-11330-2

ISSN

—

e-ISSN

—

Počet stran výsledku

8

Strana od-do

610-617

Název nakladatele

Springer Verlag

Místo vydání

Warsaw

Místo konání akce

PJIIT - Polish-Japanese Institute of Information

Datum konání akce

10. 10. 2014

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

000348349000073