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Authors: Bálint Antal 1 ; Bence Remenyik 1 and András Hajdu 2

Affiliations: 1 University of Debrecen, Hungary ; 2 Univerity of Debrecen, Hungary

Keyword(s): Cell Segmentation, Markov Random Fields, Bit Plane Slicing.

Related Ontology Subjects/Areas/Topics: Biomedical Applications ; Image and Video Processing, Compression and Segmentation ; Multimedia ; Multimedia Signal Processing ; Multimedia Systems and Applications ; Telecommunications

Abstract: In this paper, we propose an approach to the unsupervised segmentation of images using Markov Random Field. The proposed approach is based on the idea of Bit Plane Slicing. We use the planes as initial labellings for an ensemble of segmentations. With pixelwise voting, a robust segmentation approach can be achieved, which we demonstrate on microscope cell images. We tested our approach on a publicly available database, where it proven to be competitive with other methods and manual segmentation.

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Paper citation in several formats:
Antal, B., Remenyik, B. and Hajdu, A. (2013). An Unsupervised Ensemble-based Markov Random Field Approach to Microscope Cell Image Segmentation. In Proceedings of the 10th International Conference on Signal Processing and Multimedia Applications and 10th International Conference on Wireless Information Networks and Systems (ICETE 2013) - SIGMAP; ISBN 978-989-8565-74-7, SciTePress, pages 94-99. DOI: 10.5220/0004612900940099

@conference{sigmap13,
author={Bálint Antal and Bence Remenyik and András Hajdu},
title={An Unsupervised Ensemble-based Markov Random Field Approach to Microscope Cell Image Segmentation},
booktitle={Proceedings of the 10th International Conference on Signal Processing and Multimedia Applications and 10th International Conference on Wireless Information Networks and Systems (ICETE 2013) - SIGMAP},
year={2013},
pages={94-99},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004612900940099},
isbn={978-989-8565-74-7},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Signal Processing and Multimedia Applications and 10th International Conference on Wireless Information Networks and Systems (ICETE 2013) - SIGMAP
TI - An Unsupervised Ensemble-based Markov Random Field Approach to Microscope Cell Image Segmentation
SN - 978-989-8565-74-7
AU - Antal, B.
AU - Remenyik, B.
AU - Hajdu, A.
PY - 2013
SP - 94
EP - 99
DO - 10.5220/0004612900940099
PB - SciTePress

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