Toward a generic evaluation of image segmentation

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

Autores

Cardoso, JS (Autor) FCUP; Corte Real, L (Autor) FEUP

Revista

Título: IEEE Transactions on Image Processing

Vol. 14 Nº 11

Páginas: 1773-1782

ISSN: 1057-7149

Editora: IEEE

Indexação

ISI Web of Knowledge - 121 Citações

Scopus - 151 Citações

Classificação Científica

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

CORDIS: Ciências Tecnológicas > Tecnologia > Tecnologia de computadores > Processamento de imagem

Outras Informações

ID Authenticus: P-000-0PJ

DOI: 10.1109/tip.2005.854491

Abstract (EN): Image segmentation plays a major role in a broad range of applications. Evaluating the adequacy of a segmentation algorithm for a given application is a requisite both to allow the appropriate selection of segmentation algorithms as well as to tune their parameters for optimal performance. However, objective segmentation quality evaluation is far from being a solved problem. In this paper, a generic framework for segmentation evaluation is introduced after a brief review of previous work. A metric based on the distance between segmentation partitions is proposed to overcome some of the limitations of existing approaches. Symmetric and asymmetric distance metric alternatives are presented to meet the specificities of a wide class of applications. Experimental results confirm the potential of the proposed measures.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 10