摘要
文中主要研究了远距离红外图像序列的目标增强和检测问题,提出了基于局部纹理特征的红外图像增强算法,利用红外图像目标和背景区域局部纹理特征的差异来增强目标和背景区域的对比度;为了提高目标检测的速度和精度,利用序列图像的帧间相关信息,采用边检测边跟踪边确认的目标检测方法。实验结果表明,对于远距离、小目标的红外图像,这种增强算法在目标对比度和细节方面都明显优于直方图均衡化方法,而本文采用的目标检测方法仅需很少几帧图像就能检测和跟踪目标,可以在确保目标检测的可靠性的前提下,提高目标的检测速度。
The problem of enhancing and detecting target in a sequence of images recorded by a long-range infrared sensor is investigated. To highlight the difference between warm object and background, a new algorithm of infrared image enhancement based on local textural features is presented. To improve the speed and accuracy of target detection, the relative information among sequential images is used to detect and track the target at the same time. Experimental results show that the enhancing algorithm can highlight the warm objects and depress the background and improve the speed and accuracy of target detection.
出处
《红外与激光工程》
EI
CSCD
北大核心
2004年第4期380-384,共5页
Infrared and Laser Engineering
关键词
红外图像序列
目标检测
图像增强
局部纹理特征
灰度共生矩阵
Algorithms
Feature extraction
Image enhancement
Information technology
Infrared radiation
Optical sensors
