Utilize este identificador para referenciar este registo:
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 |
Data: | 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 |
Aparece nas colecções: | ESTiG - Publicações em Proceedings Indexadas à WoS/Scopus |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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ICPR 2008.pdf | 1,14 MB | Adobe PDF | Ver/Abrir |
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