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A method for detecting artificial objects in natural environments

机译:一种检测自然环境中的人造物体的方法

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In this paper we will present a method ft)r automatic detection of man-made objects in digital images representing natural environments. This method is based on statistical distribution of texture patterns in the image. This distribution is computed using Zipf's law. The image is divided into sub-frames and Zipf's distribution is computed for each sub-frame. Then the surfaces tinder Zipf's plots of the different sub frames are compared in order to determine which sub frame will contain an object. The sensitivity of this detection method to image resolution is also examined.
机译:在本文中,我们将提出一种方法FT)R)在代表自然环境的数字图像中自动检测人为物体。该方法基于图像中纹理模式的统计分布。使用Zipf的法律计算该分布。图像被分成子帧,并且为每个子帧计算ZIPF的分布。然后比较曲面Tinder Zipf的不同子帧的图,以确定哪个子帧将包含对象。还检查了该检测方法对图像分辨率的敏感性。

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