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Please use this identifier to cite or link to this item: http://hdl.handle.net/10198/1811

Título: Image segmentation using region merging combined with a multi-class spectral method
Autor: Monteiro, Fernando C.
Campilho, Aurélio
Palavras-chave: Image segmentation
Region merging
Spectral methods
Issue Date: 2007
Editora: MVA Conference
Citação: Monteiro, Fernando C.; Campilho, Aurélio (2007) - Image segmentation using region merging combined with a multi-class spectral method. In IAPR Conference on Machine Vision Applications, Tokyo. p.69-72. ISBN 978-4-901122-07-8
Resumo: In this paper we propose an image segmentation algorithm that combines region merging with spectral-based techniques. An initial partitioning of the image into primitive regions is produced by applying a region merging approach which produces a chunk graph that takes in attention the image gradient magnitude. This initial partition is the input to a computationally efficient region segmentation process that produces the final segmentation. The latter process uses a multi-class partition that minimizes the normalized cut value for the region graph. We have efficiently applied the proposed approach with good visual and objective segmentation quality results.
URI: http://hdl.handle.net/10198/1811
ISBN: 978-4-901122-07-8
Versão do Editor: http://www.cvl.iis.u-tokyo.ac.jp/mva/proceedings/2007CD/papers/03-11.pdf
Appears in Collections:DE - Artigos em Proceedings Não Indexados ao ISI/Scopus

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