Image segmentation using region merging combined with a multi-class spectral method

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2007

Autores

Fernando Monteiro (Autor) FEUP; Aurélio Campilho (Autor) FEUP

Ata de Conferência Internacional

Título: Proceedings of IAPR Conference on Machine Vision Applications, MVA 2007

Páginas: 69-72

10th IAPR Conference on Machine Vision Applications, MVA 2007

Tokyo, 16 May 2007 through 18 May 2007

Indexação

Scopus - 0 Citações

Classificação Científica

FOS: Ciências da engenharia e tecnologias > Engenharia electrotécnica, electrónica e informática

CORDIS: Ciências Tecnológicas > Engenharia > Engenharia electrónica

Outras Informações

ID Authenticus: P-008-8N8

Abstract (EN): In this paper we propose an image segmentation algorithm that combines region merging with spectral-based techniques. An initial partitioning of the image into primitive regions is produced by applying a region merging approach which produces a chunk graph that takes in attention the image gradient magnitude. This initial partition is the input to a computationally efficient region segmentation process that produces the final segmentation. The latter process uses a multi-class partition that minimizes the normalized cut value for the region graph. We have efficiently applied the proposed approach with good visual and objective segmentation quality results.

Idioma: Inglês

Tipo (Avaliação Docente): Científica