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Fast Hough transform for automatic bridge extraction

机译:快速霍夫变换可自动提取桥梁

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In this paper, a new method to recognize bridge in the complicated background is presented. The algorithm takes full advantages of the characteristics of the bridge image. Firstly, the image is preprocessed and the object edges are extracted. Then according to the limitations of traditional Hough transform (HT), the extraction method of the image line segment characteristic of HT is improved, which eliminates spurious peaks on the basis of global and local thresholds, discriminates the position relation between two straight line segments, and merges segments with near endpoints, etc. Experiments show that this algorithm is more precise and efficient than traditional HT, moreover it can provide a complete description of the bridge in a complicated background.
机译:在本文中,提出了一种识别复杂背景中的桥梁的新方法。该算法采用桥梁图像特性的完全优势。首先,图像是预处理的,并提取对象边缘。然后根据传统霍夫变换(HT)的局限性,改善了HT的图像线段特征的提取方法,其基于全局和局部阈值消除了虚假峰,识别两个直线段之间的位置关系,并合并近端点附近的段等。实验表明,该算法比传统的HT更精确,有效,而且它可以提供复杂背景中的桥的完整描述。

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