红外技术2018，Vol.40Issue(3)：253-258,6.
基于直觉模糊集的多波段图像融合
Multi-band Image Fusion Based on Intuitionistic Fuzzy Set Theory
摘要
Abstract
To solve the problems of poor fusion effect and loss of information in multi-band images under low-light-level detection conditions, a multi-band image fusion method based on intuitionistic fuzzy set theory is proposed. First, source images are decomposed by intuitionistic fuzzy sets using the maximum entropy criterion. Second, after blurring the membership degree of the image, the image is decomposed by NSST to obtain high- and low-frequency images. Third, the high-frequency images are fused with an absolute value of large, and low-frequency images are fused with a high level of sharpness. Finally, both sets of fusion images are input into the inverse transform of NSST to obtain the final fusion results. The experimental results show that the proposed method can be used to deal adaptively with weak light images. In addition, the results show that the fusion target is remarkable, the contrast and resolution are large, and the subjective and objective evaluation indices are better than those of CNN and DTCWT.关键词
图像融合/直觉模糊集/多波段图像/微光图像处理Key words
image fusion/intuitionistic fuzzy set/multiband image/low-light-level image processing分类
信息技术与安全科学引用本文复制引用
韩泽,蔺素珍,赵竞超,王丽芳,黄福升..基于直觉模糊集的多波段图像融合[J].红外技术,2018,40(3):253-258,6.基金项目
山西省应用基础研究项目(201701D121062),中北大学第十三届研究生科技立项(20161356). （201701D121062）
