红外视觉图像序列的融合算法

Xin Wang, Gaolue Li
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引用次数: 8

摘要

提出了一种基于运动目标检测的红外与可见光图像序列融合算法。利用改进的混合帧间差分从红外序列中检测目标区域。提出的非下采样Contourlet变换(NSCT)融合规则只对红外和可见光图像的目标区域进行融合。然后将融合后的目标区域与可见图像的背景区域结合。实验结果表明,该方法既具有良好的红外目标特征,又保持了与可见光图像相同的细节信息,是一种有效可行的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fusion Algorithm for Infrared-Visual Image Sequences
A novel fusion algorithm for infrared and visible image sequences based on moving target detection is proposed. The target regions are detected from the infrared sequences using improved mixed inter-frame difference. Only the target regions of infrared and visible images are fused with the new proposed fusion rules of nonsubsampled Contourlet transform (NSCT). Then the fused target regions are combined with background regions of visible images. The experimental results show that the method is feasible and efficient, not only possesses good infrared target feature, but also keeps the same detail information of the visible image.
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