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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 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. \; 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 dim small target is disturbed by the background and noise that results in low SNR. A new method of infrared dim small target detection based on mathematical morphology is designed. First the noise and the air background of original image are suppressed by Top-Hat transform of mathematical morphology, and the target is segmented by open processing, then the little target signal in IR can be detected with tract filter. The results... In the infrared imaging and tracking system, infrared grey image of dim small target is disturbed by the background and noise that results in low SNR. A new method of infrared dim small target detection based on mathematical morphology is designed. First the noise and the air background of original image are suppressed by Top-Hat transform of mathematical morphology, and the target is segmented by open processing, then the little target signal in IR can be detected with tract filter. The results show that this method can significantly enhance SNR of target, and is adaptable to real-time image processing. 针对空背景下红外小目标图像信噪比低,背景和杂波干扰严重的特点,提出了一种基于数学形态学的红外小目标检测算法。算法首先利用灰度形态学Top -Hat变换,完成复杂空背景下的背景抑制和候选目标提取,然后通过开运算处理进一步去除虚假目标和噪声干扰,完成目标分割;最后结合管道滤波的方法,可快速检测出红外图像序列中的小目标信号。实验表明,该算法能够有效的提高图像信噪比,快速有效地检测出目标信号。
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