Proceedings of 3rd International Conference on Multimedia Technology(ICMT-13)

Research on Image Fusion for Visual and PMMW Images Using NSCT and Region Detection

Authors
Tang Shi, Xiong Jintao, Yang Jianyu, Peng Xinliang
Corresponding Author
Tang Shi
Available Online November 2013.
DOI
10.2991/icmt-13.2013.98How to use a DOI?
Keywords
image fusion · Passive Millimeter Wave (PMMW) image· Nonsubsampled Contourlet Transform (NSCT)· image segmentation
Abstract

In this paper, a novel image fusion algorithm based on Nonsubsampled Contourlet Transform (NSCT) and image segmentation is proposed, for the application of Passive Millimeter Wave (PMMW) concealed objects detection. PMMW and visual images are fused to get a better presentation of original images, maintaining both visual background and concealed object detected in PMMW images. This algorithm combines the extraction of Region of Interest (ROI) and the NSCT based fusion. The experimental results show that the proposed algorithm has better fusion performance compared with traditional methods.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of 3rd International Conference on Multimedia Technology(ICMT-13)
Series
Advances in Intelligent Systems Research
Publication Date
November 2013
ISBN
10.2991/icmt-13.2013.98
ISSN
1951-6851
DOI
10.2991/icmt-13.2013.98How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Tang Shi
AU  - Xiong Jintao
AU  - Yang Jianyu
AU  - Peng Xinliang
PY  - 2013/11
DA  - 2013/11
TI  - Research on Image Fusion for Visual and PMMW Images Using NSCT and Region Detection
BT  - Proceedings of 3rd International Conference on Multimedia Technology(ICMT-13)
PB  - Atlantis Press
SP  - 789
EP  - 797
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmt-13.2013.98
DO  - 10.2991/icmt-13.2013.98
ID  - Shi2013/11
ER  -