Publication result detail

Comparison of Appearance-Based and Geometry-Based Bubble Detectors

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

Original Title

Comparison of Appearance-Based and Geometry-Based Bubble Detectors

English Title

Comparison of Appearance-Based and Geometry-Based Bubble Detectors

Type

Paper in proceedings (conference paper)

Original Abstract


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.

English abstract


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.

Keywords

Detection of Bubbles, 

Key words in English

Detection of Bubbles, 

Authors

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

RIV year

2015

Released

08.10.2014

Publisher

Springer Verlag

Location

Warsaw

ISBN

978-3-319-11330-2

Book

Proccedings of Internation Conference on Computer Vision and Graphics

Edition

Lecture Notes in Computer Science

Volume

8671

Pages from

610

Pages to

617

Pages count

8

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"
}