基于数学形态学的红外图像小目标检测

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。

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

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.