Image segmentation algorithms and their use on doppler images

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2011

Autores

Tatiana D. C. A. Silva (Autor) Outra; Zhen Ma (Autor) FEUP; João Manuel R. S.Tavares (Autor) FEUP

Ata de Conferência Internacional

Título: Computational Vision and Medical Image Processing: VipIMAGE 2011

Páginas: 117-122

III ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing: VipIMAGE 2011

Olhão, Portugal, 14-14 October 2011

Indexação

ISI Web of Science

Scopus

Classificação Científica

FOS: Ciências da engenharia e tecnologias > Outras ciências da engenharia e tecnologias

CORDIS: Ciências Tecnológicas

Outras Informações

Abstract (EN): This paper aims to make a review on current segmentation algorithms used for medical images. Image segmentation algorithms can be classified according to their methodologies, namely the ones based on thresholds, clustering, and deformable models. Each type of algorithms is discussed as well as their main application fields identified; additionally, the advantages and disadvantages of each type are pointed out. Experiments that apply the algorithms to segment Doppler images are presented to further evaluate their behaviour.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 6