Sherif Moursi and Mahmoud El-Sakka, "On Ultrasound Carotid Artery Segmentation", TR#711, ISBN-978-0-7714-2671-1, (22 pages), Computer Science Department, University of Western Ontario, January 2008, London, Ontario, Canada.
Abstract
Image segmentation is a process that partitions a given image into multiple regions, according to a given criterion. The goal of segmentation is to simplify and change the representation of an image into something that is more meaningful and easier to analyze Image segmentation is typically used for extraction of interesting objects for further processing such as description or recognition Image Segmentation has many practical applications, including medical imaging, face recognition, automatic traffic controlling systems, and machine vision.
In this report we will give a brief background on some of the proposed research in segmenting carotid artery contours especially in ultrasound images. We will also focus on active contours method and give overview about its advantages and disadvantages as a segmentation technique.