By Topic

Sequential blind image extraction based on particle swarm optimization

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

5 Author(s)
Lei Chen ; Sch. of Inf. Eng., Tianjin Univ. of Commerce, Tianjin, China ; Liyi Zhang ; Yanju Guo ; Ting Liu
more authors

A sequential blind image extraction method based on particle swarm optimization was proposed. Normalized fourth-order cumulant was used as cost function in the method and traditional gradient algorithm was replaced by particle swarm optimization algorithm for optimizing it. The extracted source image component was wiped off using deflation method and source images can be extracted sequentially. Simulation results show that source images can be effectively extracted from mixed images using this method. Then, a moving target detection method based on sequential blind image extraction method was proposed and the movement trajectory can be clearly observed from sequential images.

Published in:

Natural Computation (ICNC), 2010 Sixth International Conference on  (Volume:5 )

Date of Conference:

10-12 Aug. 2010