Region Segregation by Linking Keypoints Tuned to Colour

M. Farrajota, J. M. F. Rodrigues, J. M. H. du Buf


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 Harvard Style

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

in Bibtex Style

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,},

in EndNote Style

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