摘要
红外与可见光传感器是图像系统中常用的两种传感器,对这两种传感器图像进行有效的融合,能够得到更加丰富的图像信息,并具有更高的可靠性,有利于提高对图像信息的分析和识别能力。快速准确地实现图像配准是图像融合的前提。为此,本文提出了一种基于互信息及蚁群算法实现红外与可见光图像配准的方法。
IR sensor and visual sensor are widely used in image system. The information and robustness of the image can be enhanced with effective fusion of images from the two kinds of sensors. And it can increase the ability of analysis and recognition for image informarion. Fast and accurate image registration is the key premise of image fusion. An algorithm of IR and visual image registration based on mutual information and ant colony algorithm is presented.
出处
《微计算机应用》
2008年第10期53-58,共6页
Microcomputer Applications
关键词
红外与可见光
互信息
蚁群算法
图像配准
IR and Visual, Mutual Information, Ant Colony Algorithm, Image Registration
