Contour Learning and Diffusive Processes for Colour Perception

Francisco J. Diaz-Pernas, Mario Martínez-Zarzuela, Miriam Anton-Rodriguez, David González-Ortega

2016

Abstract

This work proposes a bio-inspired neural architecture called L-PREEN (Learning and Perceptual boundaRy rEcurrent dEtection neural architecture). L-PREEN has three different feedback interactions that fuse the bottom-up and top-down contour information of visual areas V1-V2-V4-Infero Temporal. This recurrent model uses colour, texture, and diffusive features to generate surface perception and contour learning and recognition processes. We compare the L-PREEN model against other boundary detection methods using the Berkeley Segmentation Dataset and Benchmark (Martin et al., 2001). The results obtained show better performance of L-PREEN using quantitative measures.

References

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Paper Citation


in Harvard Style

Diaz-Pernas F., Martínez-Zarzuela M., Anton-Rodriguez M. and González-Ortega D. (2016). Contour Learning and Diffusive Processes for Colour Perception . In Proceedings of the 13th International Joint Conference on e-Business and Telecommunications - Volume 5: SIGMAP, (ICETE 2016) ISBN 978-989-758-196-0, pages 89-94. DOI: 10.5220/0005955200890094


in Bibtex Style

@conference{sigmap16,
author={Francisco J. Diaz-Pernas and Mario Martínez-Zarzuela and Miriam Anton-Rodriguez and David González-Ortega},
title={Contour Learning and Diffusive Processes for Colour Perception},
booktitle={Proceedings of the 13th International Joint Conference on e-Business and Telecommunications - Volume 5: SIGMAP, (ICETE 2016)},
year={2016},
pages={89-94},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005955200890094},
isbn={978-989-758-196-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 13th International Joint Conference on e-Business and Telecommunications - Volume 5: SIGMAP, (ICETE 2016)
TI - Contour Learning and Diffusive Processes for Colour Perception
SN - 978-989-758-196-0
AU - Diaz-Pernas F.
AU - Martínez-Zarzuela M.
AU - Anton-Rodriguez M.
AU - González-Ortega D.
PY - 2016
SP - 89
EP - 94
DO - 10.5220/0005955200890094