By Topic

An improved medical image fusion algorithm based on wavelet transform

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)
Ling Tao ; Dept. Of Biomed. Eng., Nanjing Univ. Of Aeronaut. & Astronaut., Nanjing, China ; Zhi-Yu Qian

Medical image fusion has very important value of application for medical image analysis and diagnosis. In this paper, the traditional method of wavelet fusion is improved and a new algorithm of medical image fusion is presented. When choosing high frequency coefficients, the regional edge intensities of each sub-image are calculated to realize adaptive fusion. The low frequency coefficient choosing is based on edges of images, so that the fused image can preserve all useful information and appears clearly. We apply the traditional and improved fusion algorithms based on wavelet transform to fuse images and also evaluate the fusion results. Experimental results show that this algorithm can effectively retain detail information of original images and enhance their edge and texture features. This new algorithm is better than traditional fusion algorithm based on wavelet transform.

Published in:

Natural Computation (ICNC), 2011 Seventh International Conference on  (Volume:1 )

Date of Conference:

26-28 July 2011