A Visible and Passive Millimeter Wave Image Fusion Algorithm Based on Pulse-Coupled Neural Network in Tetrolet Domain for Early Risk Warning
Joint Authors
Li, Feng
Li, Yuanjiang
Ye, WeiYang
Chen, Jian Fei
Gong, Miao
Zhang, Yousai
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-04-08
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
An algorithm based on pulse-coupled neural network (PCNN) constructed in the Tetrolet transform domain is proposed for the fusion of the visible and passive millimeter wave images in order to effectively identify concealed targets.
The Tetrolet transform is applied to build the framework of the multiscale decomposition due to its high sparse degree.
Meanwhile, a Laplacian pyramid is used to decompose the low-pass band of the Tetrolet transform for improving the approximation performance.
In addition, the maximum criterion based on regional average gradient is applied to fuse the top layers along with selecting the maximum absolute values of the other layers.
Furthermore, an improved PCNN model is employed to enhance the contour feature of the hidden targets and obtain the fusion results of the high-pass band based on the firing time.
Finally, the inverse transform of Tetrolet is exploited to obtain the fused results.
Some objective evaluation indexes, such as information entropy, mutual information, and QAB/F, are adopted for evaluating the quality of the fused images.
The experimental results show that the proposed algorithm is superior to other image fusion algorithms.
American Psychological Association (APA)
Li, Yuanjiang& Ye, WeiYang& Chen, Jian Fei& Gong, Miao& Zhang, Yousai& Li, Feng. 2018. A Visible and Passive Millimeter Wave Image Fusion Algorithm Based on Pulse-Coupled Neural Network in Tetrolet Domain for Early Risk Warning. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1207373
Modern Language Association (MLA)
Li, Yuanjiang…[et al.]. A Visible and Passive Millimeter Wave Image Fusion Algorithm Based on Pulse-Coupled Neural Network in Tetrolet Domain for Early Risk Warning. Mathematical Problems in Engineering No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1207373
American Medical Association (AMA)
Li, Yuanjiang& Ye, WeiYang& Chen, Jian Fei& Gong, Miao& Zhang, Yousai& Li, Feng. A Visible and Passive Millimeter Wave Image Fusion Algorithm Based on Pulse-Coupled Neural Network in Tetrolet Domain for Early Risk Warning. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1207373
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1207373