Novel Registration and Fusion Algorithm for Multimodal Railway Images with Different Field of Views
Joint Authors
Lin, Yingzi
Guo, Baoqing
Zhou, Xingfang
Zhu, Liqiang
Yu, Zujun
Source
Journal of Advanced Transportation
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-12-06
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
Objects intruding high-speed railway clearance do great threat to running trains.
In order to improve accuracy of railway intrusion detection, an automatic multimodal registration and fusion algorithm for infrared and visible images with different field of views is presented.
The ratio of the nearest to next nearest distance, geometric, similar triangle, and RANSAC constraints are used to refine the matching SURF feature points successively.
Correct matching points are accumulated with multiframe to overcome the insufficient matching points in single image pair.
After being registered, an improved Contourlet transform fusion algorithm combined with total variation and local region energy is proposed.
Inverse Contourlet transform to low frequency subband coefficient fused with total variation model and high frequency subband coefficients fused with local region energy is used to reconstruct the fused image.
The comparison to other 4 popular fusion methods shows that our algorithm has the best comprehensive performance for multimodal railway image fusion.
American Psychological Association (APA)
Guo, Baoqing& Zhou, Xingfang& Lin, Yingzi& Zhu, Liqiang& Yu, Zujun. 2018. Novel Registration and Fusion Algorithm for Multimodal Railway Images with Different Field of Views. Journal of Advanced Transportation،Vol. 2018, no. 2018, pp.1-16.
https://search.emarefa.net/detail/BIM-1181673
Modern Language Association (MLA)
Guo, Baoqing…[et al.]. Novel Registration and Fusion Algorithm for Multimodal Railway Images with Different Field of Views. Journal of Advanced Transportation No. 2018 (2018), pp.1-16.
https://search.emarefa.net/detail/BIM-1181673
American Medical Association (AMA)
Guo, Baoqing& Zhou, Xingfang& Lin, Yingzi& Zhu, Liqiang& Yu, Zujun. Novel Registration and Fusion Algorithm for Multimodal Railway Images with Different Field of Views. Journal of Advanced Transportation. 2018. Vol. 2018, no. 2018, pp.1-16.
https://search.emarefa.net/detail/BIM-1181673
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1181673