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A new infrared small and dim target detection algorithm based on multi-directional composite window

机译：一种新的基于多方向复合窗口的红外弱小目标检测算法

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摘要

This work presents a new method based on gray characteristic analysis for infrared dim small target detection under complex backgrounds. Firstly, an improved detection window with eight directions and three layers is introduced to investigate the gray distribution characteristic of different structure in an infrared image. Secondly, we adopt a pretreatment process based on morphology filter and mean filter to reduce the running time and propose a detection rule on characteristic analysis for infrared targets. Meanwhile a new parameter optimization algorithm based on fuzzy control theory is employed so that the detection rule could be independent of the initial parameters. Finally, experimental results indicate that the proposed method can effectively detect the dim small targets and has better tracking performance. (C) 2015 Elsevier B.V. All rights reserved.
机译：这项工作提出了一种基于灰色特征分析的复杂背景下红外暗弱小目标检测新方法。首先，提出了一种改进的八方向三层检测窗，以研究红外图像中不同结构的灰度分布特征。其次，采用基于形态学滤波和均值滤波的预处理过程，减少了运算时间，提出了红外目标特征分析的检测规则。同时，采用了一种基于模糊控制理论的参数优化算法，使得检测规则与初始参数无关。最后，实验结果表明，该方法能够有效地检测出昏暗的小目标，并具有较好的跟踪性能。 （C）2015 Elsevier B.V.保留所有权利。

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