By Topic

Medical Images Registration Based on Gradient Mutual Information and Improved Genetic Algorithm

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
$33 $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

2 Author(s)
Feng Yang ; Sch. of Comput. Sci. Technol., Heilongjiang Univ., Harbin, China ; Kuang Fu

This paper suggests one method to process images registration to promote time and precise combined gradient mutation information with improved genetic algorithm. Adaptive probabilities of the crossover and the mutation are adopted to prevent the process from falling into a local maximum. Combination of the mutual information strategy with adaptive probabilities of GA accelerates convergence of the iterative process.

Published in:

Communication Systems and Network Technologies (CSNT), 2012 International Conference on

Date of Conference:

11-13 May 2012