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Medical Image Fusion Algorithm Based on Nonlinear Approximation of Contourlet Transform and Regional Features
Joint Authors
Huang, Hui
Feng, Xi’an
Jiang, Jionghui
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-01-24
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Information Technology and Computer Science
Abstract EN
According to the pros and cons of contourlet transform and multimodality medical imaging, here we propose a novel image fusion algorithm that combines nonlinear approximation of contourlet transform with image regional features.
The most important coefficient bands of the contourlet sparse matrix are retained by nonlinear approximation.
Low-frequency and high-frequency regional features are also elaborated to fuse medical images.
The results strongly suggested that the proposed algorithm could improve the visual effects of medical image fusion and image quality, image denoising, and enhancement.
American Psychological Association (APA)
Huang, Hui& Feng, Xi’an& Jiang, Jionghui. 2017. Medical Image Fusion Algorithm Based on Nonlinear Approximation of Contourlet Transform and Regional Features. Journal of Electrical and Computer Engineering،Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1175351
Modern Language Association (MLA)
Huang, Hui…[et al.]. Medical Image Fusion Algorithm Based on Nonlinear Approximation of Contourlet Transform and Regional Features. Journal of Electrical and Computer Engineering No. 2017 (2017), pp.1-9.
https://search.emarefa.net/detail/BIM-1175351
American Medical Association (AMA)
Huang, Hui& Feng, Xi’an& Jiang, Jionghui. Medical Image Fusion Algorithm Based on Nonlinear Approximation of Contourlet Transform and Regional Features. Journal of Electrical and Computer Engineering. 2017. Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1175351
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1175351