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New algorithm for detection of dangerous objects hidden on a human body using passive THz camera

机译:使用被动太赫兹摄像机检测隐藏在人体中的危险物体的新算法

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We discuss a correlation function using for developing of new algorithm that allows us to detect a hidden object without analyzing of image captured by the passive THz camera. Main idea of this approach concludes in correlation calculating between the image characteristics and corresponding characteristics of standard image. Obviously, a difference in temperature between a person body and object hidden under clothes takes place always. However, this difference can be invisible for human eyes. Using the correlation function we can increase a contrast between two objects and this allows to see an object or to produce alarm by computer. We discuss a choice of standard image characteristics for an achievement of correlation function for high contrast. Other feature of our approach arises from a possibility of a person image coming to the THz camera by using a computer processing of the image only. It means that we can "decrease" a distance between a person and the passive THz camera. This algorithm is very convenient for using and has a high performance.
机译:我们讨论了用于开发新算法的相关函数,该函数使我们无需分析被动THz摄像机捕获的图像即可检测隐藏物体。该方法的主要思想是在图像特征和标准图像的相应特征之间的相关计算中得出结论。显然,人体和藏在衣服下的物体之间总是会发生温度差。但是,这种差异对于人眼可能是不可见的。使用相关函数,我们可以增加两个对象之间的对比度,从而可以看到一个对象或通过计算机产生警报。我们讨论了标准图像特征的选择,以实现高对比度的相关函数。我们的方法的其他特征来自仅通过计算机处理图像将人像移到太赫兹相机的可能性。这意味着我们可以“减小”人与被动太赫兹摄像机之间的距离。该算法使用非常方便,并且具有很高的性能。

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