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The Visual Detection of Bullet Holes in a Target

机译:目视检测目标中的弹孔

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摘要

The visual detection of bullet holes in a target image usually can be formulated as a problem of how to exactly locate in an image the isolated and overlapping spots, which are treated as structures without inner detail and texture. In this paper we present a model based feedback algorithm to deal with this problem and make full consideration of the gradient information and the various size and background. Experiments show it works well and achieves high reliability in real applications.
机译:通常可以将目视检测目标图像中的弹孔公式化为如何在图像中准确定位孤立的和重叠的斑点,这些斑点和斑点被视为没有内部细节和纹理的结构。在本文中,我们提出了一种基于模型的反馈算法来处理该问题,并充分考虑了梯度信息以及各种大小和背景。实验表明,它在实际应用中效果很好,并具有很高的可靠性。

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