红外技术2018，Vol.40Issue(5)：449-454,6.
结合区域与边缘特征的红外与可见光图像融合算法
Infrared and Visible Image Fusion Algorithm Combined with Regional Characteristics and Edge Characteristics
邱泽敏1
作者信息
- 1. 中山大学新华学院,广州 广东 510520
- 折叠
摘要
Abstract
Images processed using the existing infrared and visible image fusion algorithm suffer from low contrast and detail blur. Hence, an infrared and visible image fusion algorithm based on the central and fringe image characteristics is proposed. It individually utilizes the edge detection or area similarity to measure the difference between images according to the distribution characteristics of the edge signal and domain signal by infrared and visible images. The edge contour signal is to be further integrated using the weighted energy fusion algorithm and the area signal is to be further integrated using the correlation signal of the strong areas .Our experimental results demonstrate that such an algorithm yields a clearer picture background and objectives and greatly improves the subjective and objective visual data.关键词
融合算法/红外图像/可见光图像/边缘检测/区域相关/分布特性Key words
fusion algorithm/infrared image/visible light image/edge detection/region correlation/distribution分类
信息技术与安全科学引用本文复制引用
邱泽敏..结合区域与边缘特征的红外与可见光图像融合算法[J].红外技术,2018,40(5):449-454,6.
