›› 2014, Vol. 27 ›› Issue (5): 193-.

• 论文 • 上一篇    

基于Mamdani型直觉模糊推理的图像融合算法

孙祺,那彦,刘波   

  1. (西安电子科技大学 电子工程学院,陕西 西安 710071)
  • 出版日期:2014-05-15 发布日期:2014-05-14
  • 作者简介:孙祺(1988—),女,硕士研究生。研究方向:数字图像处理。E-mail:sunqi1988@163.com

Image Fusion Algorithm Based on Mamdani Type Intuitionistic Fuzzy Inference System

SUN Qi,NA Yan,LIU Bo   

  1. (School of Electronic Engineering,Xidian University,Xi'an 710071,China)
  • Online:2014-05-15 Published:2014-05-14

摘要:

提出了一种基于Mamdani型直觉模糊推理的图像融合算法,该算法首先根据融合目标设定推理规则,并根据推理规则建立直觉模糊推理系统,并将待融合图像的每个像素点直觉模糊化并输入系统,经过推理得到输出图像每个像素点的隶属、非隶属程度,最后通过解模糊计算输出图像的灰度值得到融合图像。实验结果证明,该算法的有效性,且由于直觉模糊集更加精确地描述了客观事物的不确定性,其融合结果优于基于模糊推理系统图像融合算法得到的结果。

关键词: 直觉模糊集, Mamdani模型, 直觉模糊推理, 图像融合

Abstract:

An image fusion algorithm based on Mamdani type Intuitionistic fuzzy inference system is proposed.The algorithm first makes inference rules and builds inference system according fusion,and then intuition fuzzes each pixel of source images and sends them into the inference system.The membership degree and non-membership degree of each pixel of fusion image are obtained after reasoning.Finally gray value of each pixel of fusion image is obtained by defuzzying the intuitionistic fuzzy set and making up the fusion image.Experiment results show the effectiveness of the algorithm.Because of the better description of uncertainty,the algorithm presented in this paper has a better fusion result than the one based on fuzzy inference system.

Key words: intuitionistic fuzzy set;Mandani module;intuitionistic fuzzy inference;image fusion

中图分类号: 

  • TP391.41