Paper Unlock

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

ISSN: 2184-4321

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)

PDF ImageFull Text


Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

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, ISSN 2184-4321, pages 5-14. DOI: 10.5220/0004214300050014

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)},


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

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.