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Authors: Sibren van Vliet 1 ; André Sobiecki 2 and Alexandru Telea 1

Affiliations: 1 University of Groningen, Netherlands ; 2 University of Groningen and ZiuZ Visual Intelligence, Netherlands

ISBN: 978-989-758-290-5

Keyword(s): Capsule Endoscopy, Video Processing, Color Stabilization.

Related Ontology Subjects/Areas/Topics: Color and Texture Analyses ; Computer Vision, Visualization and Computer Graphics ; Image and Video Analysis ; Image Enhancement and Restoration ; Image Formation and Preprocessing

Abstract: Pill endoscopy cameras generate hours-long videos that need to be manually inspected by medical specialists. Technical limitations of pill cameras often create large and uninformative color variations between neighboring frames, which make exploration more difficult. To increase the exploration efficiency, we propose an automatic method for joint intensity and hue (tone) stabilization that reduces such artifacts. Our method works in real time, has no free parameters, and is simple to implement. We thoroughly tested our method on several real-world videos and quantitatively and qualitatively assessed its results and optimal parameter values by both image quality metrics and user studies. Both types of comparisons strongly support the effectiveness, ease-of-use, and added value claims for our new method.

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Paper citation in several formats:
van Vliet, S.; Sobiecki, A.; Sobiecki, A. and Telea, A. (2018). Joint Brightness and Tone Stabilization of Capsule Endoscopy Videos.In Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, ISBN 978-989-758-290-5, pages 101-112. DOI: 10.5220/0006552401010112

@conference{visapp18,
author={Sibren van Vliet. and André Sobiecki. and André Sobiecki. and Alexandru Telea.},
title={Joint Brightness and Tone Stabilization of Capsule Endoscopy Videos},
booktitle={Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP,},
year={2018},
pages={101-112},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006552401010112},
isbn={978-989-758-290-5},
}

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP,
TI - Joint Brightness and Tone Stabilization of Capsule Endoscopy Videos
SN - 978-989-758-290-5
AU - van Vliet, S.
AU - Sobiecki, A.
AU - Sobiecki, A.
AU - Telea, A.
PY - 2018
SP - 101
EP - 112
DO - 10.5220/0006552401010112

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