期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2016
卷号：9
期号：10
页码：259-266
出版社：SERSC
摘要：Image fusion is an important branch of information fusion, which is widely used in various fields. At present, the image fusion method is mainly aimed at the different frequency information of the images,the images are fused in transformdomain. But in practical application, imagefusion is usedto improve the credibility of the target information andthe demandofbackground information of is not high. Therefore, this paper puts forward an image fusion method combining withimage classification. Firstly, the NSCT transform is used to transform the source images, and the K-Meansmethod is used to realize the classification of the target and the background, and the different fusion criteria are used to get the target and the background. The experimental results show that the image fusion based classification method has a better effect on the subjective visual effect and objective evaluation index.
