Please use this identifier to cite or link to this item:
|Title:||Image segmentation using region merging combined with a multi-class spectral method|
|Authors:||Monteiro, Fernando C.|
|Citation:||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|
|Abstract:||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.|
|Appears in Collections:||DE - Artigos em Proceedings Não Indexados ao ISI/Scopus|
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.