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Authors: Simon Reich 1 ; Alexey Abramov 1 ; Jeremie Papon 1 ; Florentin Wörgötter 1 and Babette Dellen 2

Affiliations: 1 Georg-August-Universität Göttingen, Germany ; 2 Institut de Robotica i Informatica Industrial (CSIC-UPC), Spain

ISBN: 978-989-8565-47-1

Keyword(s): Texture Filter, Image Segmentation, GPU, Real-time, Edge-preserving.

Related Ontology Subjects/Areas/Topics: Active and Robot Vision ; Applications ; Color and Texture Analyses ; Computer Vision, Visualization and Computer Graphics ; Image and Video Analysis ; Image Enhancement and Restoration ; Image Formation and Preprocessing ; Motion, Tracking and Stereo Vision ; Pattern Recognition ; Robotics ; Segmentation and Grouping ; Software Engineering

Abstract: The segmentation of textured and noisy areas in images is a very challenging task due to the large variety of objects and materials in natural environments, which cannot be solved by a single similarity measure. In this paper, we address this problem by proposing a novel edge-preserving texture filter, which smudges the color values inside uniformly textured areas, thus making the processed image more workable for color-based image segmentation. Due to the highly parallel structure of the method, the implementation on a GPU runs in realtime, allowing us to process standard images within tens of milliseconds. By preprocessing images with this novel filter before applying a recent real-time color-based image segmentation method, we obtain significant improvements in performance for images from the Berkeley dataset, outperforming an alternative version using a standard bilateral filter for preprocessing. We further show that our combined approach leads to better segmentations in terms of a standard performance measure than graph-based and mean-shift segmentation for the Berkeley image dataset. (More)

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Paper citation in several formats:
Reich, S.; Abramov, A.; Papon, J.; Wörgötter, F. and Dellen, B. (2013). A Novel Real-time Edge-Preserving Smoothing Filter.In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2013) ISBN 978-989-8565-47-1, pages 5-14. DOI: 10.5220/0004214300050014

@conference{visapp13,
author={Simon Reich. and Alexey Abramov. and Jeremie Papon. and Florentin Wörgötter. and Babette Dellen.},
title={A Novel Real-time Edge-Preserving Smoothing Filter},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2013)},
year={2013},
pages={5-14},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004214300050014},
isbn={978-989-8565-47-1},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2013)
TI - A Novel Real-time Edge-Preserving Smoothing Filter
SN - 978-989-8565-47-1
AU - Reich, S.
AU - Abramov, A.
AU - Papon, J.
AU - Wörgötter, F.
AU - Dellen, B.
PY - 2013
SP - 5
EP - 14
DO - 10.5220/0004214300050014

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