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Modified motion-based detection algorithm for dim targets in IR image sequences

机译:改进的基于运动的红外图像序列弱目标检测算法

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An integrated algorithm for the detection of dim point/extended size, slow/fast-moving targets has been presented in this paper. In the proposed algorithm, essentially an innovation over an existing algorithm reported by Nengli Dong et al [7], morphological operations are carried out on the incoming IR data to improve signal to noise ratio (SNR). Methods of entropy thresholding and conjunction functions are integrated together. Conjunction function based algorithm has been significantly modified to take care of fast moving targets, a limitation of the method proposed by Nengli Dong et al. Our proposed algorithm is able to detect point as well extended size targets with low contrast and having frame to frame movements varying from sub-pixel to tens of pixels.
机译:本文提出了一种用于检测暗点/扩展大小,慢/快移动目标的集成算法。在提出的算法中,本质上是对Nengl​​i Dong等人[7]报告的现有算法的创新,对传入的IR数据进行了形态学运算,以提高信噪比(SNR)。熵阈值和连接函数的方法集成在一起。基于联合函数的算法已得到重大改进,以照顾快速移动的目标,这是Nengl​​i Dong等人提出的方法的局限性。我们提出的算法能够以低对比度检测点以及扩展尺寸的目标,并且帧之间的运动范围从子像素到数十个像素不等。

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