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Authors: M. Farrajota ; J. M. F. Rodrigues and J. M. H. du Buf

Affiliation: University of the Algarve, Portugal

ISBN: 978-989-758-018-5

Keyword(s): Colour, Segmentation, Keypoint, Cluster, Multi-scale, Visual Cortex.

Related Ontology Subjects/Areas/Topics: Clustering ; Pattern Recognition ; Theory and Methods

Abstract: Coloured regions can be segregated from each other by using colour-opponent mechanisms, colour contrast, saturation and luminance. Here we address segmentation by using end-stopped cells tuned to colour instead of to colour contrast. Colour information is coded in separate channels. By using multi-scale cortical endstopped cells tuned to colour, keypoint information in all channels is coded and mapped by multi-scale peaks. Unsupervised segmentation is achieved by analysing the branches of these peaks, which yields the best-fitting image regions.

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Paper citation in several formats:
Farrajota, M.; Farrajota, M.; M. F. Rodrigues, J. and M. H. du Buf, J. (2014). Region Segregation by Linking Keypoints Tuned to Colour.In Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-018-5, pages 247-254. DOI: 10.5220/0004827002470254

@conference{icpram14,
author={M. Farrajota. and M. Farrajota. and J. M. F. Rodrigues. and J. M. H. du Buf.},
title={Region Segregation by Linking Keypoints Tuned to Colour},
booktitle={Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2014},
pages={247-254},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004827002470254},
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 - Region Segregation by Linking Keypoints Tuned to Colour
SN - 978-989-758-018-5
AU - Farrajota, M.
AU - Farrajota, M.
AU - M. F. Rodrigues, J.
AU - M. H. du Buf, J.
PY - 2014
SP - 247
EP - 254
DO - 10.5220/0004827002470254

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