摘要
针对红外小目标跟踪测试系统的目标检测、识别和跟踪,存在着目标面积小、形态特征弱化、背景图像复杂等因素而影响目标信息提取的问题,提出了利用图像处理技术方法,对跟踪系统获取的图像进行改善处理。根据跟踪测试原理和复杂背景目标图像特征,研究了基于低通滤波法的目标图像的预处理算法,目标图像增强,目标图像与背景分离和Sobel边缘检测算法等图像处理技术,从而对红外小目标图像定位。实验结果表明:所采取的图像处理方法可以对复杂背景下的目标信息提取,结合跟踪系统的控制机制,现实远程目标的动态跟踪。
Aimed to the problem affected the information distilling in the infrared small object detection,recognition and track system,such as small area,weak form characteristic and the complicated background image,the image processing method is proposed to improve the image obtained by the track system.According to the track detection principle and the characteristic of the complicated background object image,reprocessing object image arithmetic based on the low-pass filtering,strengthen object image arithmetic,the object image separating from the background image arithmetic and Sobel edge detection arithmetic are studied to confirm the infrared small object image.Experimental results show that the image processing method can distill the information from the complicated background,then realize the long-distance object dynamic track by controlling mechanism of track system.
出处
《西安科技大学学报》
CAS
北大核心
2011年第5期584-588,共5页
Journal of Xi’an University of Science and Technology
基金
陕西省教育厅自然科学专项(2010JK605)
关键词
红外小目标
图像处理
信息提取
目标跟踪
infrared small object
image processing
information distilling
object track
