论文标题
多聚焦热图像融合
Multi-focus thermal image fusion
论文作者
论文摘要
本文提出了一种用于多对焦热图像融合的新型算法。该算法基于本地活动分析和图像的先进预选为融合过程。该算法可改善对象温度测量误差高达5摄氏度。提出的算法通过一半总误差率，均方根误差，跨相关性和视觉检查来评估。据我们所知，这是专门用于多对焦热图像融合的第一部作品。为了测试所提出的算法，我们获得了六个热图像，该图像设置具有不同的焦点深度的对象。
This paper proposes a novel algorithm for multi-focus thermal image fusion. The algorithm is based on local activity analysis and advanced pre-selection of images into fusion process. The algorithm improves the object temperature measurement error up to 5 Celsius degrees. The proposed algorithm is evaluated by half total error rate, root mean squared error, cross correlation and visual inspection. To the best of our knowledge, this is the first work devoted to multi-focus thermal image fusion. For testing of proposed algorithm we acquire six thermal image set with objects at different focal depth.
