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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., 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 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 - M. F. Rodrigues J.
AU - M. H. du Buf J.
PY - 2014
SP - 247
EP - 254
DO - 10.5220/0004827002470254

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