摘要
针对红外测量目标图像灰度分布不均衡、边缘灰度梯度小、有效信息范围窄,导致在应用Camshift算法对红外测量目标跟踪时不能准确检测目标区域的问题,文章利用红外测量图像相邻帧灰度分布的连续性,按照目标判读的具体要求,通过目标跟踪结果重定位的方式,解决了此方法在跟踪结果中目标图像范围不稳定的问题,实现了测量图像的连续稳定跟踪。实验结果表明:此方法能够提供准确的目标范围,跟踪稳定,执行效率高,且方法具有较好的自适应性,易于实现。
An infrared measurement target tracking method based on CamShift algorithm is proposed to solve the problem that the gray scale of the target image is not balanced, and thesmall edge gray scale and the narrow range of effective information. According to the specific characteristics of the infrared measurement image, and according to the specific requirements of the target interpretation, through the use of target tracking results relocation algorithm to solve the instability of the tracking results in the target image, to achieve the continuous stability of the measurement image tracking. The experimental results show that this method can provide accu rate target range, stable tracking, high execution efficiency, and the method has good adaptabili- ty and easy to implement.
作者
李晓冰
LI Xiaobing(PLA Unit 92941,Huludao, Liaoning 125000, CHN)
出处
《光电子技术》
CAS
2017年第4期280-284,共5页
Optoelectronic Technology
关键词
测量图像
均值漂移
红外
目标
跟踪
measurement image
Camshift
infrared
target
tracking
作者简介
李晓冰（1967-），男，高级工程师，长期从事测量图像处理方面的研究工作。（Email：lxbhld@126．com）
