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Advisor(s)
Abstract(s)
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
Keywords
Image segmentation Spectral methods Normalized cuts
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