Spectral methods in image segmentation: A combined approach

• Tipo: Artigo em Revista Científica Internacional
• Data: 2005

Autores

monteiro, fc (Autor) Outra; monteiro, fc (Autor) Outra; campilho, ac (Autor) FEUP

Indexação

ISI Web of Knowledge - 2 Citações

Scopus - 1 Citação

Outras Informações

ID Authenticus: P-000-6DN

DOI: 10.1007/11492542_24

Abstract (EN): 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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 8