Cart (Loading....) | Create Account
Close category search window
 

Global optimization of deformable surface meshes based on genetic algorithms

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Tohka, J. ; Inst. of Signal Process., Tampere Univ. of Technol., Finland

Deformable models are by their formulation able to solve the surface extraction problem from noisy volumetric image data encountered commonly in medical image analysis. However, this ability is shadowed by the fact that the minimization problem formulated is difficult to solve globally. Constrained global solutions are needed, if the amount of noise is substantial. This paper presents a new optimization strategy for deformable surface meshes based on real coded genetic algorithms. Real coded genetic algorithms are favored over binary coded ones because they can more efficiently be adapted to the particular problem domain. Experiments with synthetic images are performed. These demonstrate that the applied deformable model is able extract a surface from noisy volumetric image. Also the superiority of the proposed approach compared to a greedy minimization with multiple initializations is demonstrated

Published in:

Image Analysis and Processing, 2001. Proceedings. 11th International Conference on

Date of Conference:

26-28 Sep 2001

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.