Author(s):
Monteiro, Fernando C. 
; Campilho, Aurélio
Date: 2005
Persistent ID: http://hdl.handle.net/10198/1836
Origin: Biblioteca Digital do IPB
Subject(s): Image segmentation; Spectral methods; Normalized cuts
Document details
Spectral methods in image segmentation: a combined approach
Description
Indexado ISI 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.
Indexado ISI 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.
Document Type
Part of book or chapter of book
Language English
Language English
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