摘要
With the nonsubsampled contourlet transform （NSCT）, a novel region-segmentation-based fusion algorithm for infrared （IR） and visible images is presented. The IR image is segmented according to the physical features of the target. The source images are decomposed by the NSCT, and then, different fusion rules for the target regions and the background regions are employed to merge the NSCT coefficients respectively. Finally, the fused image is obtained by applying the inverse NSCT. Experimental results show that the proposed algorithm outperforms the pixel-based methods, including the traditional wavelet-based method and NSCT-based method.
With the nonsubsampled contourlet transform （NSCT）, a novel region-segmentation-based fusion algorithm for infrared （IR） and visible images is presented. The IR image is segmented according to the physical features of the target. The source images are decomposed by the NSCT, and then, different fusion rules for the target regions and the background regions are employed to merge the NSCT coefficients respectively. Finally, the fused image is obtained by applying the inverse NSCT. Experimental results show that the proposed algorithm outperforms the pixel-based methods, including the traditional wavelet-based method and NSCT-based method.
基金
the National Natu-ral Science Foundation of China (No.60572152)
the National 863 Program of China (No.2006AA01Z127).
作者简介
Q. Zhang is the author to whom the correspondence should be addressed, his e-mail address is zhangqiang 134@ 163. com.
