A Novel Real-time Edge-Preserving Smoothing Filter

Simon Reich, Alexey Abramov, Jeremie Papon, Florentin Wörgötter, Babette Dellen

2013

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.

Paper Citation

in Harvard Style

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

in Bibtex Style

@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},
}

in EndNote Style

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