Watershed Framework to Region-based Image Segmentation

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2008

Autores

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

Ata de Conferência Internacional

Título: 19TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOLS 1-6

Páginas: 1586-1589

19th International Conference on Pattern Recognition (ICPR 2008)

Tampa, FL, DEC 08-11, 2008

Indexação

ISI Proceedings

ISI Web of Knowledge - 0 Citações

ISI Web of Science

Scopus - 6 Citações

Classificação Científica

CORDIS: Ciências Tecnológicas > Engenharia > Engenharia electrónica

Outras Informações

ID Authenticus: P-004-5PF

DOI: 10.1109/ICPR.2008.4761587

Abstract (EN): This paper proposes a new framework to image segmentation which combines edge- and region-based information with spectral techniques through the morphological algorithm of watersheds. A pre-processing step is used to reduce the spatial resolution without losing important image information. An initial partitioning of the image into primitive regions is set by applying a rainfalling watershed algorithm on the image gradient magnitude. This initial partition is the input to a computationally efficient region segmentation process which produces the final segmentation. The latter process uses a region-based similarity graph representation of the image regions. The experimental results clearly demonstrate the effectiveness of the proposed approach to produce simpler segmentations and to compare favourably with state-of-the-art methods.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 4