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A Method for Detecting Small Targets Based on Cumulative Weighted Value of Target Properties

机译:基于目标属性累积权重值的小目标检测方法

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Laser detection based on the "cat's eye effect" has become the hot research project for its initiative compared to the passivity of sound detection and infrared detection. And the target detection is one of the core technologies in this system. The paper puts forward a method for detecting small targets based on cumulative weighted value of target properties using given data. Firstly, we make a frame difference to the images, then make image processing based on Morphology Principles. Secondly, we segment images, and screen the targets; then find some interesting locations. Finally, comparing to a quantity of frames, we locate the target. We did an exam to 394 true frames, the experimental result shows that the mathod can detect small targets efficiently.
机译:与声音检测和红外检测的被动性相比,基于“猫眼效应”的激光检测已成为其研究的热点。目标检测是该系统的核心技术之一。提出了一种基于给定数据的目标属性累积加权值的小目标检测方法。首先,对图像进行帧差异处理,然后根据形态学原理进行图像处理。其次,我们分割图像,并筛选目标。然后找到一些有趣的位置。最后,与一定数量的帧进行比较,我们找到了目标。我们对394个真实帧进行了检查,实验结果表明该方法可以有效地检测出较小的目标。

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