摘要
提出了一种基于模糊数学的图像数据融合算法。作者针对可见光图像和红外图像融合的问题,分析了像素级融合的新方案,提出了基于多级小波分解的和模糊数学的融合算法。该算法首先衡量了两幅图像在小波变换域的相关性,并利用相关性的大小来计算模糊隶属度函数,最终通过对可见光图像和红外图像的加权平均完成像素级的融合。在本文的实验部分,作者针对两幅现场采集的实际数据验证了算法的有效性。
This paper presents an image data fusion algorithm based on fuzzy mathematics.Aiming at the problems in the, fusion of visible light image and infrared image the authors analyze the pixel-level image fusion algorithm,and address an algorithm based on the multi-level wavelet decomposition and fuzzy math.The correlation of the two images' wavelet coefficients is measured and used to compute the fuzzy membership function,and ultimately the pixel-level fusion is achieved through weighting average two images.In the experiment part of this paper,the authors verify the effectiveness of the algorithm with two actual image data collected in the scene.
出处
《系统仿真学报》
CAS
CSCD
北大核心
2008年第S1期375-377,380,共4页
Journal of System Simulation
关键词
图像融合
小波变换
模糊数学
红外图像
image fusion
wavelet transform
fuzzy math
infrared image
