The Nonsubsampled Contourlet Transform Based Statistical Medical Image Fusion Using Generalized Gaussian Density
Joint Authors
Chen, Leiting
Yang, Guocheng
Li, Meiling
Yu, Jie
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-10-07
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
We propose a novel medical image fusion scheme based on the statistical dependencies between coefficients in the nonsubsampled contourlet transform (NSCT) domain, in which the probability density function of the NSCT coefficients is concisely fitted using generalized Gaussian density (GGD), as well as the similarity measurement of two subbands is accurately computed by Jensen-Shannon divergence of two GGDs.
To preserve more useful information from source images, the new fusion rules are developed to combine the subbands with the varied frequencies.
That is, the low frequency subbands are fused by utilizing two activity measures based on the regional standard deviation and Shannon entropy and the high frequency subbands are merged together via weight maps which are determined by the saliency values of pixels.
The experimental results demonstrate that the proposed method significantly outperforms the conventional NSCT based medical image fusion approaches in both visual perception and evaluation indices.
American Psychological Association (APA)
Yang, Guocheng& Li, Meiling& Chen, Leiting& Yu, Jie. 2015. The Nonsubsampled Contourlet Transform Based Statistical Medical Image Fusion Using Generalized Gaussian Density. Computational and Mathematical Methods in Medicine،Vol. 2015, no. 2015, pp.1-13.
https://search.emarefa.net/detail/BIM-1057845
Modern Language Association (MLA)
Yang, Guocheng…[et al.]. The Nonsubsampled Contourlet Transform Based Statistical Medical Image Fusion Using Generalized Gaussian Density. Computational and Mathematical Methods in Medicine No. 2015 (2015), pp.1-13.
https://search.emarefa.net/detail/BIM-1057845
American Medical Association (AMA)
Yang, Guocheng& Li, Meiling& Chen, Leiting& Yu, Jie. The Nonsubsampled Contourlet Transform Based Statistical Medical Image Fusion Using Generalized Gaussian Density. Computational and Mathematical Methods in Medicine. 2015. Vol. 2015, no. 2015, pp.1-13.
https://search.emarefa.net/detail/BIM-1057845
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1057845