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ACS/IEEE 2005 International Conference on Computer Systems and Applications (AICCSA'05)
Watershed segmentation for carotid artery ultrasound images
Cairo, Egypt
January 03-January 06
ISBN: 0-7803-8735-X
A.R. Abdel-Dayem, Ecole Nationale des Sci. de l'lnformatique, Campus Univ., La Manouba, Tunisia
M.R. El-Sakka, Ecole Nationale des Sci. de l'lnformatique, Campus Univ., La Manouba, Tunisia
A. Fenster, Res. Group on Intelligent Machines (REGIM), Sfax Univ., Tunisia
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.
Citation:
A.R. Abdel-Dayem, M.R. El-Sakka, A. Fenster, "Watershed segmentation for carotid artery ultrasound images," aiccsa, pp.131-vii, ACS/IEEE 2005 International Conference on Computer Systems and Applications (AICCSA'05), 2005
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