Study on Application of Order Morphology Fitering for Detection of Small Target and Point Target
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摘要: 为解决复杂背景图像中低信噪比小目标和点目标检测问题,提出了基于顺序形态滤波 的目标检测方法,同时给出了具体算法.通过实验比较了这种方法与传统高通滤波检测方法在 抗噪声性能、背景抑制性能以及抑制虚警目标性能方面的差异.实验结果表明顺序形态滤波法 在这三个方面都优于高通滤波法,它能够快速可靠地测出低信噪比的运动小目标和点目标.Abstract: This paper is presented to resolve the small target and point target detection problem under the condition of low Signal Noise Ratio(SNR). The method of detection based on order morphology filtering is presented, and the algorithm is given. By means of experiments the performances of anti-noise and background suppression and false target suppression are compared between order morphology filtering and high-pass filtering. The experiment results show that the method of order morphology filtering is better than the high pass filtering in the performances of target detection and it can effectively and reliably detect the moving point target with low SNR.
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Key words:
- Small target /
- point target /
- high pass filtering /
- order morphology filtering
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