Watershed segmentation for carotid artery ultrasound images

Authors:
A. R. Abdel-Dayem;M. R. El-Sakka;A. Fenster
Affiliations:
Ecole Nationale des Sci. de l'lnformatique, Campus Univ., La Manouba, Tunisia;Ecole Nationale des Sci. de l'lnformatique, Campus Univ., La Manouba, Tunisia;Res. Group on Intelligent Machines (REGIM), Sfax Univ., Tunisia
Venue:
AICCSA '05 Proceedings of the ACS/IEEE 2005 International Conference on Computer Systems and Applications
Year:
2005

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Abstract

Summary form only given. This paper introduces a novel segmentation scheme for carotid artery ultrasound images. The proposed scheme is based on watershed segmentation algorithm. It consists of four major stages. These stages are preprocessing, watershed segmentation, region merging and finally boundary extraction. The proposed scheme is tested using a set of carotid artery ultrasound images. The experimental results show that the proposed scheme can produce accurate contours.