Skip to content Skip to navigation
University of Warwick
  • Study
  • |
  • Research
  • |
  • Business
  • |
  • Alumni
  • |
  • News
  • |
  • About

University of Warwick
Publications service & WRAP

Highlight your research

  • WRAP
    • Home
    • Search WRAP
    • Browse by Warwick Author
    • Browse WRAP by Year
    • Browse WRAP by Subject
    • Browse WRAP by Department
    • Browse WRAP by Funder
    • Browse Theses by Department
  • Publications Service
    • Home
    • Search Publications Service
    • Browse by Warwick Author
    • Browse Publications service by Year
    • Browse Publications service by Subject
    • Browse Publications service by Department
    • Browse Publications service by Funder
  • Help & Advice
University of Warwick

The Library

  • Login
  • Admin

Active contours with weighted external forces for medical image segmentation

Tools
- Tools
+ Tools

Khadidos, Alaa, Sanchez Silva, Victor and Li, Chang-Tsun (2014) Active contours with weighted external forces for medical image segmentation. In: 18th Annual Conference in Medical Image Understanding and Analysis (MIUA2014), UK, London, 9-11 Jul 2014

[img]
Preview
PDF
WRAP_Li_MIUA_alaa_2v16.pdf - Accepted Version - Requires a PDF viewer.

Download (1109Kb) | Preview
Official URL: http://www.city.ac.uk/medical-image-understanding-...

Request Changes to record.

Abstract

Parametric active contours have been widely used for image segmentation. However, high noise levels and weak edges are the most acute issues that hinder their performance, particularly in medical images. In order to overcome these issues, we propose an external force that weights the gradient vector flow (GVF) field and balloon forces according to local image features. We also propose a mechanism to automatically terminate the contour's deformation. % process. %Our approach improves performance over noisy images and weak edges and allows snake's initialization using a limited number of manually selected points.
Evaluation results on real MRI and CT slices show that the proposed approach attains higher segmentation accuracy than snakes using traditional external forces, while allowing initialization using a limited number of selected points.

Item Type: Conference Item (Paper)
Subjects: Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Divisions: Faculty of Science > Computer Science
Library of Congress Subject Headings (LCSH): Image processing -- Digital techniques, Diagnostic imaging
Official Date: 2014
Dates:
DateEvent
2014UNSPECIFIED
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
Embodied As: 1
Conference Paper Type: Paper
Title of Event: 18th Annual Conference in Medical Image Understanding and Analysis (MIUA2014)
Type of Event: Conference
Location of Event: UK, London
Date(s) of Event: 9-11 Jul 2014

Request changes or add full text files to a record

Repository staff actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics

twitter

Email us: wrap@warwick.ac.uk
Contact Details
About Us