摘要
针对灰色系统理论在空间域对红外与可见光图像融合的不足,以及非下采样Contourlet变换(NSCT)在图像融合领域的优势,提出了一种基于目标提取的红外与可见光图像融合新算法。首先,对红外和可见光图像分别进行NSCT变换;其次,对红外低频分量应用灰色系统理论进行目标提取,并利用所提融合规则对低频分量进行融合,同时对高频分量采用常用融合规则进行融合;最后,对融合后高、低频分量进行NSCT逆变换,得到融合图像。通过与4种常用方法进行实验对比,结果表明,文中算法得到的融合图像视觉效果较好,某些客观评价指标提升明显。
Considering the shortcomings of the infrared and visible light image fusion based on grey system theory in the spatial domain, and utilizing the advantages of nonsubsampled Contourlet transform （ NSCT） in image fusion, a fusion algorithm of the infrared and visible light image based on target extraction is proposed.Firstly, the nonsub-sampled Contourlet transform is performed respectively on infrared image and visible light image.Secondly, the grey system theory is applied to the low frequency component of the infrared image for target extraction, and then the low frequency components are fused by making use of the proposed fusion rule.At the same time the common fusion rule is applied to the high frequency components.Finally, the reverse nonsubsampled Contourlet transform is performed on the fused low frequency part and high frequency part in order to obtain the fusion image.Compared with four commonly used methods, the results show that the fusion image has a good visual effect, and some objective evalua-tion indexes are improved obviously.
出处
《应用科技》
CAS
2014年第5期48-52,共5页
Applied Science and Technology
