Image segmentation algorithms and their use on doppler images

• Type: Article in International Conference Proceedings Book
• Date: 2012

Authors

Silva, TDCA (Author) Other; Ma, Z (Author) Other; João Manuel R. S. Tavares (Author) FEUP

Conference proceedings International

Title: COMPUTATIONAL VISION AND MEDICAL IMAGE PROCESSING: VIPIMAGE 2011

Pages: 117-122

3rd ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing (VipIMAGE)

Olhao, PORTUGAL, OCT 12-14, 2011

Indexing

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Other information

Authenticus ID: P-008-2BS

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