DocumentCode
2442447
Title
Watershed segmentation for carotid artery ultrasound images
Author
Abdel-Dayem, Amr R. ; El-Sakka, Mahmoud R. ; Fenster, Aaron
fYear
2005
fDate
2005
Firstpage
131
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.
Keywords
biomedical ultrasonics; blood vessels; edge detection; image segmentation; medical image processing; merging; boundary extraction; carotid artery ultrasound images; region merging; watershed segmentation; Angiography; Carotid arteries; Computer science; Data mining; Deformable models; Image segmentation; Merging; Morphology; Testing; Ultrasonic imaging;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Systems and Applications, 2005. The 3rd ACS/IEEE International Conference on
Print_ISBN
0-7803-8735-X
Type
conf
DOI
10.1109/AICCSA.2005.1387120
Filename
1387120
Link To Document