Monteiro, Fernando C.Campilho, Aurélio2010-02-102010-02-102005Monteiro, 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 978-3-540-26154-4978-3-540-26154-40302-9743http://hdl.handle.net/10198/1836Indexado ISIGrouping 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.engImage segmentationSpectral methodsNormalized cutsconference object