Paper Title:
Fusion of Infrared and Visible Image Based on Target Regions for Environment Perception
  Abstract

Infrared and visible image fusion is an important precondition to realize target perception for unmanned aerial vehicles (UAV) based on which UAV can perform various missions. The details in visible images are abundant, while the target information is more outstanding in infrared images. However, the conventional fusion methods are mostly based on region segmentation, and then the fused image for target recognition can’t be actually acquired. In this paper, a novel fusion method of infrared and visible image based on target regions in discrete wavelet transform (DWT) domain is proposed, which can gain more target information and preserve the details. Experimental results show that our method can generate better fused image for target recognition.

  Info
Periodical
Chapter
Chapter 3: Sensor, Test and Signal Processing
Edited by
Zhixiang Hou
Pages
589-593
DOI
10.4028/www.scientific.net/AMM.128-129.589
Citation
Y. F. Niu, S. T. Xu, W. D. Hu, "Fusion of Infrared and Visible Image Based on Target Regions for Environment Perception", Applied Mechanics and Materials, Vols. 128-129, pp. 589-593, 2012
Online since
October 2011
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Price
$35.00
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