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Title: Spectral methods in image segmentation: a combined approach
Author: Monteiro, Fernando C.
Campilho, Aurélio
Keywords: Image segmentation
Spectral methods
Normalized cuts
Issue Date: 2005
Publisher: Springer
Citation: Monteiro, Fernando C.; Campilho, Aurélio (2005) - Spectral methods in image segmentation: a combined approach. In 2nd Iberian Conference on Pattern Recognition and Image Analysis. Estoril, Portugal. p.191-198. ISBN 978-3-540-26154-4
Series/Report no.: Lecture Notes in Computer Science;3523
Abstract: Grouping and segmentation of images remains a challenging problem in computer vision. Recently, a number of authors have demonstrated a good performance on this task using spectral methods that are based on the eigensolution of a similarity matrix. In this paper, we implement a variation of the existing methods that combines aspects from several of the best-known eigenvector segmentation algorithms to produce a discrete optimal solution of the relaxed continuous eigensolution.
Description: Indexado ISI
Peer review: yes
ISBN: 978-3-540-26154-4
ISSN: 0302-9743
Publisher Version:
Appears in Collections:DE - Publicações em Proceedings Indexadas ao ISI/Scopus

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