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Mathematical Problems in Engineering
Volume 2013, Article ID 720979, 7 pages
Research Article

Infrared Target Detection and Location for Visual Surveillance Using Fusion Scheme of Visible and Infrared Images

1School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
2School of Computer Science and Information Technology, Northeast Normal University, Changchun 130117, China
3College of Mathematics, Physics and Information Engineering, Zhejiang Normal University, Jinhua 321000, China

Received 21 May 2013; Accepted 16 July 2013

Academic Editor: William Guo

Copyright © 2013 Zi-Jun Feng et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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.