基于数学形态学的红外图像小目标检测  

Real-time detection of small target in IR grey image based on mathematical morphology

作　　者：汪洋[1] 郑亲波[1] 张钧屏[1] 

机构地区：[1]中国科学院上海技术物理研究所,上海200083

出　　处：《红外与激光工程》2003年第1期28-31,共4页Infrared and Laser Engineering

摘　　要：针对红外成像跟踪系统的低信噪比、背景和噪声干扰严重的小目标图像,以及后续的目标识别处理需要目标的灰度信息的特点,设计了一种基于数学形态学的红外灰度图像小目标检测算法,并用FPGA硬件实现。实验表明,数学形态学滤波能够大大提高目标的信噪比,去除背景和噪声干扰,保留目标的灰度信息,满足系统实时性要求,是一种有效的红外灰度图像小目标检测算法。In the infrared imaging and tracking system, infrared grey image of small targets is disturbed by the background and noise, that results in low SNR. The grey information of the target is required in the post\|processing of target recognition. The mathematical morphology based on algorithm to detect small targets is designed for infrared grey image and implemented by field programmable gate array. It is shown that mathematical morphology filtering can significantly enhanc SNR of the target. In the filtering the disturbance is eliminated, and the grey information is remained. The algorithm is adaptable to real\|time image processing. It is effective for detecting small targets in infrared grey image. \;

关 键 词：数学形态学 红外灰度图像 小目标检测 红外成像跟踪系统 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术] TN219[自动化与计算机技术—计算机科学与技术]