摘要
可见光与红外图像加权平均融合在图像探测、目标识别等领域应用广泛,期间,源图像的权值因子对融合结果有着重要影响作用。本文提出以融合图像标准化信息熵和标准差的和、差为量化指标,结合科学实验,研究了一种确定可见光和红外图像的加权融合最佳比例因子的方法,为评估可见光和红外图像融合质量奠定了基础。
The visible and infrared images based on weighting fusion is widely used in the field of image detection, target recognition and so on.However, the weight factor of the source image has an important effect on the fusion result.This paper propose to use the sum and the difference be- tween entropy of information and standard deviation as quantification index, combined with scientific experiment, a method for determining the best weight factor of fusion of visible and infrared images based on weighting is studied.This paper lays the foundation for evaluating the fusion quality of visible and infrared images.
出处
《电子世界》
2017年第13期12-14,共3页
Electronics World
关键词
融合图像
加权融合
信息熵
标准差
fusion image： weighted fusion
entropy of information
standard deviation
