PIXEL-LEVEL IMAGE FUSION BASED ON FUZZY THEORY

摘要：

A new region based image fusion scheme is proposed.It is based on multiscalc analysis.The low frequency band of the image mtultiscale representation is segmented into three kinds of regions by K-mean algorithm, which is used to determine the fusion rule and to achieve the multiscale representation of fusion result The final image fusion result can be obtained by performing the inverse multiscale transform.The experiment demonstrates that the proposed image fusion method can illustrate better performance than exiting image fusion method.

关键词： Information fusion Image fusion Signal processing Fuzzy theory

作者: GANG LIU XUE-QIN LU

作者单位: School of Power and Automation Engineering, Shanghai University of Electric Power, Pingliang Road 200093, Shanghai, China

会议类型: 国际会议

会议名称: 2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

会议地点: 香港

会议语种:英文

页码: 1510-1514

在线出版日期: 2007-08-19（万方平台首次上网日期，不代表论文的发表时间）