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Medical Image Fusion Based on Sparse Representation and PCNN in NSCT Domain
Joint Authors
Xia, Jingming
Chen, Yiming
Chen, Aiyue
Chen, Yicai
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-05-24
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
The clinical assistant diagnosis has a high requirement for the visual effect of medical images.
However, the low frequency subband coefficients obtained by the NSCT decomposition are not sparse, which is not conducive to maintaining the details of the source image.
To solve these problems, a medical image fusion algorithm combined with sparse representation and pulse coupling neural network is proposed.
First, the source image is decomposed into low and high frequency subband coefficients by NSCT transform.
Secondly, the K singular value decomposition (K-SVD) method is used to train the low frequency subband coefficients to get the overcomplete dictionary D, and the orthogonal matching pursuit (OMP) algorithm is used to sparse the low frequency subband coefficients to complete the fusion of the low frequency subband sparse coefficients.
Then, the pulse coupling neural network (PCNN) is excited by the spatial frequency of the high frequency subband coefficients, and the fusion coefficients of the high frequency subband coefficients are selected according to the number of ignition times.
Finally, the fusion medical image is reconstructed by NSCT inverter.
The experimental results and analysis show that the algorithm of gray and color image fusion is about 34% and 10% higher than the contrast algorithm in the edge information transfer factor QAB/F index, and the performance of the fusion result is better than the existing algorithm.
American Psychological Association (APA)
Xia, Jingming& Chen, Yiming& Chen, Aiyue& Chen, Yicai. 2018. Medical Image Fusion Based on Sparse Representation and PCNN in NSCT Domain. Computational and Mathematical Methods in Medicine،Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1131881
Modern Language Association (MLA)
Xia, Jingming…[et al.]. Medical Image Fusion Based on Sparse Representation and PCNN in NSCT Domain. Computational and Mathematical Methods in Medicine No. 2018 (2018), pp.1-12.
https://search.emarefa.net/detail/BIM-1131881
American Medical Association (AMA)
Xia, Jingming& Chen, Yiming& Chen, Aiyue& Chen, Yicai. Medical Image Fusion Based on Sparse Representation and PCNN in NSCT Domain. Computational and Mathematical Methods in Medicine. 2018. Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1131881
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1131881