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Image segmentation using region merging combined with a multi-class spectral method
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Orientador(es)
Resumo(s)
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.
Descrição
Palavras-chave
Image segmentation Region merging Spectral methods
Contexto Educativo
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