Infrared Target Detection and Location for Visual Surveillance Using Fusion Scheme of Visible and Infrared Images
Joint Authors
Feng, Zi-Jun
Zhang, Xiao-Ling
Yuan, Li-Yong
Wang, Jia-Nan
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-08-25
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
The main goal of image fusion is to combine substantial information from different images of the same scene into a single image that is suitable for human and machine perception or for further image-processing tasks.
In this study, a simple and efficient image fusion approach based on the application of the histogram of infrared images is proposed.
A fusion scheme to select adaptively weighted coefficients for preserving salient infrared targets from the infrared image and for obtaining most spatial detailed information from the visible image is presented.
Moving and static infrared targets in the fused image are labeled with different colors.
This technique enhances perception of the image for the human visual system.
In view of the modalities of infrared images, low resolution, and low signal-to-noise ratio, an anisotropic diffusion equation model is adopted to remove noise and to effectively preserve edge information before the fusion stage.
By using the proposed method, relevant spatial information is preserved and infrared targets are clearly identified in the resulting fused images.
American Psychological Association (APA)
Feng, Zi-Jun& Zhang, Xiao-Ling& Yuan, Li-Yong& Wang, Jia-Nan. 2013. Infrared Target Detection and Location for Visual Surveillance Using Fusion Scheme of Visible and Infrared Images. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-1010495
Modern Language Association (MLA)
Feng, Zi-Jun…[et al.]. Infrared Target Detection and Location for Visual Surveillance Using Fusion Scheme of Visible and Infrared Images. Mathematical Problems in Engineering No. 2013 (2013), pp.1-7.
https://search.emarefa.net/detail/BIM-1010495
American Medical Association (AMA)
Feng, Zi-Jun& Zhang, Xiao-Ling& Yuan, Li-Yong& Wang, Jia-Nan. Infrared Target Detection and Location for Visual Surveillance Using Fusion Scheme of Visible and Infrared Images. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-1010495
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1010495