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Authors: Michal Krumnikl ; Eduard Sojka and Jan Gaura

Affiliation: VŠB - Technical University of Ostrava, Czech Republic

ISBN: 978-989-758-018-5

Keyword(s): Fuzzy C-Means, Segmentation, Stereo Matching, Disparity.

Related Ontology Subjects/Areas/Topics: Applications ; Cardiovascular Imaging and Cardiography ; Cardiovascular Technologies ; Clustering ; Computer Vision, Visualization and Computer Graphics ; Feature Selection and Extraction ; Fuzzy Logic ; Health Engineering and Technology Applications ; Image Understanding ; Pattern Recognition ; Signal Processing ; Software Engineering ; Theory and Methods

Abstract: This paper presents an extension to the popular fuzzy c-means clustering method by introducing an additional disparity cue. The creation of the clusters is driven by a degree of the stereo match and thus is able to separate the objects based on their different colour and spatial depth. In contrast to the other popular approaches, the clustering is not performed on the individual input images, but on the stereo pair, and takes into account the matching properties. The algorithm is capable of producing the segmentations, as well as the disparity maps. The results of this algorithm show that the proposed method can improve the segmentation, under the condition of having the stereo image pair of the segmented scene.

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Paper citation in several formats:
Krumnikl M., Sojka E. and Gaura J. (2014). Modified Fuzzy C-Means as a Stereo Segmentation Method.In Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-018-5, pages 40-47. DOI: 10.5220/0004793000400047

@conference{icpram14,
author={Michal Krumnikl and Eduard Sojka and Jan Gaura},
title={Modified Fuzzy C-Means as a Stereo Segmentation Method},
booktitle={Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2014},
pages={40-47},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004793000400047},
isbn={978-989-758-018-5},
}

TY - CONF

JO - Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Modified Fuzzy C-Means as a Stereo Segmentation Method
SN - 978-989-758-018-5
AU - Krumnikl M.
AU - Sojka E.
AU - Gaura J.
PY - 2014
SP - 40
EP - 47
DO - 10.5220/0004793000400047

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