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/).
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 -