基于Hough变换的红外序列图像点目标跟踪方法  

Hough Transform-based Method for Tracking Point Target in Infrared Sequence Images

作　　者：李晓冰[1] 赵满庆[1] 张宏艺[1] 

机构地区：[1]92941部队

出　　处：《红外》2011年第10期27-29,34,共4页Infrared

摘　　要：针对红外序列图像中点目标成像质量较差、跟踪困难等问题,利用Hough变换算法的抗噪性,并根据测量图像的具体特点,对算法的计算量进行了优化。通过将三维空间Hough变换降为二维,提出了一种基于Hough变换的红外序列图像点目标跟踪方法。实验结果表明,该方法对部分缺损及大小变化的目标都能够实现稳定跟踪,提高了红外目标跟踪的稳定性。To overcome the problem that the point target in infrared sequence images is more dimcutt to be imaged and tracked, the Hough transform algorithm is optimized in computational complexity according to the features of the infrared sequence images. The three dimensional space of the Hough transform is reduced to two dimensional space and a Hough transform-based method for tracking the point target in infrared sequence images is proposed. The experimental result shows that since the method can track the targets whichever have partial defects and size variation stably. Its stability in tracking infrared targets is improved.

关 键 词：红外图像 HOUGH变换 目标跟踪 点目标 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]