By Topic

Level Set Region Based Image Segmentation Using Lattice Boltzmann Method

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

3 Author(s)
Balla-Arabe, S. ; Video & Image Process. Syst. Lab., Xidian Univ., Xi''an, China ; Bin Wang ; Xinbo Gao

Solving Level Set Equation (LSE) by using the classical methods, mostly based on finite differences approximations, costs a lot of computer time particularly when processing high dimensional large-scale data. In recent years, the Lattice Boltzmann Method (LBM) has attracted much attention as a fast alternative approach for solving LSE. The LBM is explicit and highly parallelizable. In this paper, we use the LBM to solve the LSE, we propose an Unsigned Pressure Force (UPF) based on region attribute, which can effectively and efficiently stop the contour at weak blurred edges. The experiments on synthetic and real images illustrate the performance of the proposed method.

Published in:

Computational Intelligence and Security (CIS), 2011 Seventh International Conference on

Date of Conference:

3-4 Dec. 2011