Image segmentation algorithms and their use on doppler images

• Type: Article in International Conference Proceedings Book
• Date: 2011

Authors

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

Conference proceedings International

Title: Computational Vision and Medical Image Processing: VipIMAGE 2011

Pages: 117-122

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

Olhão, Portugal, 14-14 October 2011

Indexing

ISI Web of Science

Scopus

Scientific classification

FOS: Engineering and technology > Other engineering and technologies

CORDIS: Technological sciences

Other information

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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6