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Infrared dim target detection technology based on background estimate

机译：基于背景估计的红外弱小目标检测技术

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摘要

Accurate and fast detection of infrared (IR) dim target has very important meaning for infrared precise guidance, early warning, video surveillance, etc. In this paper, two new algorithms - background estimate and frame difference fusion method, and building background with neighborhood mean method are presented. The basic principles and the implementing procedure of these algorithms for target detection are described. Using these algorithms, the experiments on some real-life IR images are performed. The whole algorithm implementing processes and results are analyzed, and those algorithms for detection targets are evaluated from the two aspects of subjective view and objective view. The results prove that the proposed method has satisfying detection effectiveness and robustness. Meanwhile, it has high detection efficiency and can be used for real-time detection
机译：准确，快速地检测出红外弱点对红外精确制导，预警，视频监控等具有非常重要的意义。本文提出了两种新算法-背景估计和帧差融合方法，以及利用邻域均值构建背景方法介绍。描述了这些目标检测算法的基本原理和实现过程。使用这些算法，对一些真实的红外图像进行了实验。分析了整个算法的实现过程和结果，从主观和客观两个方面对检测目标的算法进行了评价。结果证明，该方法具有令人满意的检测效果和鲁棒性。同时，具有较高的检测效率，可用于实时检测

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