Spectral methods in image segmentation: a combined approach

Authors:
Fernando C. Monteiro;Aurélio C. Campilho
Affiliations:
,INEB – Instituto de Engenharia Biomédica;,INEB – Instituto de Engenharia Biomédica
Venue:
IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part II
Year:
2005

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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.