|
|||||
|
|
| 基于边缘检测小波变换的红外与可见光图像融合方法 | |
| 引用本文： | 李茜,郭佳,郭小云.基于边缘检测小波变换的红外与可见光图像融合方法[J].光学仪器,2013,35(1):18-21. |
| 作者姓名： | 李茜 郭佳 郭小云 |
| 作者单位： | 李茜:西安工业大学 电子信息工程学院, 陕西 西安 710021 郭佳:西安应用光学研究所, 陕西 西安 710065 郭小云:西安北方光电科技防务有限公司, 陕西 西安 710043 |
| 摘 要： | 简要地论述了图像融合中主要的三种像素级融合算法,即简单方法、基于塔形分解以及基于小波分解的融合方法,在现有的红外与可见光图像融合方法之上,提出了以边缘检测为基础的一种小波变换图像融合方法,并对融合效果进行了评价。实验结果表明,经该方法对红外与可见光图像的融合可以提供更多、更有效的信息,提高了图像的分辨效果和人眼对场景目标的发现和识别概率,融合效果较为理想。 |
| 关 键 词： | 可见光图像 红外图像 图像融合 边缘检测 |
| 收稿时间： | 2012/7/15 |
An improved image fusion algorithm based on wavelet of edge detection |
|
| LI Qian,GUO Jia and GUO Xiaoyun.An improved image fusion algorithm based on wavelet of edge detection[J].Optical Instruments,2013,35(1):18-21. | |
| Authors: | LI Qian GUO Jia and GUO Xiaoyun |
| Affiliation: | 1.School of Electronic and Information Engineering,Xi′an Technological University,Xi′an 710021,China; 2.Xi′an Institute of Applied Optics,Xi′an 710065,China; 3.Xi′an North Optical-Electrical Science and Technology Defense Co.,Ltd.,Xi′an 710043,China) |
| Abstract: | The theory of pixel level image fusion method based on simple method, pyramid decomposition and wavelet decomposition is described in this paper. In addition, based on the existing infrared and visible image fusion method, an improved image fusion algorithm based on wavelet of edge detection has been presented. The fusion effect was evaluated. The experimental result shows that the infrared and visible image fusion with this method can provide more effective information to improve the image resolution effect and the detecting and recognition probability of the human eye to scenes of target. The fusion results are ideal. |
| Keywords: | visible image infrared image image fusion edge detection |
| 本文献已被 CNKI 等数据库收录！ | |
| 点击此处可从《光学仪器》浏览原始摘要信息 | |
| 点击此处可从《光学仪器》下载全文 | |