By Topic

A region-based image fusion algorithm using multiresolution segmentation

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

5 Author(s)
Zhenhua Li ; Inst. of Aerosp. Inf. & Control, Shanghai Jiao Tong Univ., China ; Zhongliang Jing ; Gang Liu ; Shaoyuan Sun
more authors

This paper describes a region-based multiresolution (MR) image fusion algorithm. The MR segmentations of source images to be fused are obtained by fuzzy c-means clustering. From these MR region representations of all the input images, we obtain a shared MR region representation to label all the input images. The fusion process is guided by these MR region representations. Experiment results using real data show that the proposed algorithm works well in multisensor image fusion.

Published in:

Intelligent Transportation Systems, 2003. Proceedings. 2003 IEEE  (Volume:1 )

Date of Conference:

12-15 Oct. 2003