Multisensor Multichannel Image Fusion Based on Fuzzy Logic

摘要：

　　The quality of fused images mostly depends on the number of source images available.On the other hand,the optimal fusion of large numbers of images still remains as a nontrivial process.This paper presents a fuzzy logic based method which is able to mitigate such a difficulty.In our approach,we first aligned the spatial resolutions of inputs to the desired value and satisfied the histogram matching requirements.Then we fused images from multiple sensors as a weighted sum of the inputs where the weights were calculated using an entropy and intensity guided fuzzy inference system.Experimental results showed that the proposed method had enhanced image qualities over the original inputs both from the spatial and spectral perspectives.

作者: M.A. Rahman S.C.F. Lin C.Y. Wong G. Jiang N.M. Kwok

作者单位: School of Mechanical and Manufacturing Engineering University of New South Wales,Sydney,Australia

会议类型: 国际会议

会议名称: The 2014 10th International Conference on Natural Computation (ICNC 2014) and the 2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2014)(第十届自然计算和第十一届模糊系统与知识发现国际会议)

会议地点: 厦门

会议语种:英文

页码: 135-140

在线出版日期: 2014-08-19（万方平台首次上网日期，不代表论文的发表时间）