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Please use this identifier to cite or link to this item: http://hdl.handle.net/10198/1826

Título: Watershed framework to region-based image segmentation
Autor: Monteiro, Fernando C.
Palavras-chave: Image segmentation
Watershed
Hybrid methods
Issue Date: 2008
Editora: IEEE
Citação: Monteiro, Fernando C. (2008) - Watershed framework to region-based image segmentation. In 19th IEEE International Conference on Pattern Recognition. Tampa, Florida, USA . p.1-4. ISBN 978-1-4244-2174-9
Resumo: This paper proposes a new framework to image segmentation which combines edge- and region-based information with spectral techniques through the morphological algorithm of watersheds. A pre-processing step is used to reduce the spatial resolution without losing important image information. An initial partitioning of the image into primitive regions is set by applying a rainfalling watershed algorithm on the image gradient magnitude. This initial partition is the input to a computationally efficient region segmentation process which produces the final segmentation. The latter process uses a region-based similarity graph representation of the image regions. The experimental results clearly demonstrate the effectiveness of the proposed approach to produce simpler segmentations and to compare favourably with state-of-the-art methods.
Descrição: Indexado ISI.
URI: http://hdl.handle.net/10198/1826
ISBN: 978-1-4244-2174-9
ISSN: 1051-4651
Versão do Editor: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4761587&isnumber=4760915
Appears in Collections:DE - Publicações em Proceedings Indexadas ao ISI/Scopus

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