Please use this identifier to cite or link to this item:
Title: Image segmentation using region merging combined with a multi-class spectral method
Author: Monteiro, Fernando C.
Campilho, Aurélio
Keywords: Image segmentation
Region merging
Spectral methods
Issue Date: 2007
Publisher: MVA Conference
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.
ISBN: 978-4-901122-07-8
Publisher Version:
Appears in Collections:DE - Artigos em Proceedings Não Indexados ao ISI/Scopus

Files in This Item:
File Description SizeFormat 
MVA_2007.pdf222,93 kBAdobe PDFView/Open

FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpace
Formato BibTex MendeleyEndnote Degois 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.