Detail publikačního výsledku

Comparison of Appearance-Based and Geometry-Based Bubble Detectors

STROKINA, N.; JURÁNEK, R.; EEROLA, T.; ZEMČÍK, P.; KÄLVIÄINEN, H.; LENSU, L.

Originální název

Comparison of Appearance-Based and Geometry-Based Bubble Detectors

Anglický název

Comparison of Appearance-Based and Geometry-Based Bubble Detectors

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt


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.

Anglický abstrakt


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.

Klíčová slova

Detection of Bubbles, 

Klíčová slova v angličtině

Detection of Bubbles, 

Autoři

STROKINA, N.; JURÁNEK, R.; EEROLA, T.; ZEMČÍK, P.; KÄLVIÄINEN, H.; LENSU, L.

Rok RIV

2015

Vydáno

08.10.2014

Nakladatel

Springer Verlag

Místo

Warsaw

ISBN

978-3-319-11330-2

Kniha

Proccedings of Internation Conference on Computer Vision and Graphics

Edice

Lecture Notes in Computer Science

Svazek

8671

Strany od

610

Strany do

617

Strany počet

8

Plný text v Digitální knihovně

http://hdl.handle.net/

BibTex

@inproceedings{BUT111660,
  author="Nataliya {Strokina} and Roman {Juránek} and Tuomas {Eerola} and Pavel {Zemčík} and Heikki Antero {Kälviäinen} and Lasse {Lensu}",
  title="Comparison of Appearance-Based and Geometry-Based Bubble Detectors",
  booktitle="Proccedings of Internation Conference on Computer Vision and Graphics",
  year="2014",
  series="Lecture Notes in Computer Science",
  volume="8671",
  pages="610--617",
  publisher="Springer Verlag",
  address="Warsaw",
  doi="10.1007/978-3-319-11331-9\{_}73",
  isbn="978-3-319-11330-2"
}