Multifocus Image Fusion Using Biogeography-Based Optimization
Joint Authors
Zhang, Ping
Fei, Chun
Peng, Zhenming
Li, Jianping
Fan, Hongyi
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-02-28
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
For multifocus image fusion in spatial domain, sharper blocks from different source images are selected to fuse a new image.
Block size significantly affects the fusion results and a fixed block size is not applicable in various multifocus images.
In this paper, a novel multifocus image fusion algorithm using biogeography-based optimization is proposed to obtain the optimal block size.
The sharper blocks of each source image are first selected by sum modified Laplacian and morphological filter to contain an initial fused image.
Then, the proposed algorithm uses the migration and mutation operation of biogeography-based optimization to search the optimal block size according to the fitness function in respect of spatial frequency.
The chaotic search is adopted during iteration to improve optimization precision.
The final fused image is constructed based on the optimal block size.
Experimental results demonstrate that the proposed algorithm has good quantitative and visual evaluations.
American Psychological Association (APA)
Zhang, Ping& Fei, Chun& Peng, Zhenming& Li, Jianping& Fan, Hongyi. 2015. Multifocus Image Fusion Using Biogeography-Based Optimization. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-14.
https://search.emarefa.net/detail/BIM-1073540
Modern Language Association (MLA)
Zhang, Ping…[et al.]. Multifocus Image Fusion Using Biogeography-Based Optimization. Mathematical Problems in Engineering No. 2015 (2015), pp.1-14.
https://search.emarefa.net/detail/BIM-1073540
American Medical Association (AMA)
Zhang, Ping& Fei, Chun& Peng, Zhenming& Li, Jianping& Fan, Hongyi. Multifocus Image Fusion Using Biogeography-Based Optimization. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-14.
https://search.emarefa.net/detail/BIM-1073540
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1073540