多传感器复杂网络数据融合算法的MATLAB仿真  

Simulation of multi-sensor complex network data fusion algorithm in MATLAB

作　　者：陈向阳[1] 胡江涛[1] 刘培 徐莹[3] 沈超[1] 

机构地区：[1]武汉工程大学计算机科学与工程学院,湖北武汉430205 [2]邮电与信息工程学院,湖北武汉430074 [3]湖北省档案局(馆)科技处,湖北武汉430071

出　　处：《武汉工程大学学报》2015年第1期67-72,共6页Journal of Wuhan Institute of Technology

基　　金：湖北省教育科学"十二五"规划2013年度立项课题:地方性高校新兴交叉学科建设的研究--以网络科学为例(2013B060)

摘　　要：多传感器复杂网络数据融合技术在多个领域中有着广泛的应用,目前存在多种像素级多传感器网络采集图像信息融合算法包括简单的图像融合算法、PCA变换图像融合算法和小波变换的图像融合算法等,但是每种算法都各具特点,因此有必要弄清楚其使用局限性以便能在实际应用中做出合理的选择.利用仿真软件Matlab结合从多传感器中获得的冗余图像数据对各种算法进行模拟实现,得出各种算法的融合图像的客观评价结果即在不同颜色空间中的相关系数和清晰度值,通过对比各种算法结果得到只有在特定的应用条件下才具有良好的融合效果,才能够很好地还原出原始的图像.the multi-sensor data fusion techniques of complex networks have extensive application in multiple fields. There are many pixel-level multi-sensor image fusion algorithms, such as simple image fusion methods,principal component analysis method and wavelet transform,etc, and every algorithm has its unique features.It is necessary to make clear about their limitations, so we can make a suitable choice in the application. By using the simulation software Matlab to simulate the realization of various algorithms to process redundant image data obtained from multiple sensors, objective evaluation of image fusion about correlation coefficient and definition of value in different color space that results from various algorithms were obtained. The results of comparison show that various algorithms only in specific application conditions have good fusion effects and restore the original images.

关 键 词：复杂网络信号 图像融合 PCA变换 小波变换 IHS变换 

分 类 号：TB35[一般工业技术—材料科学与工程]