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A Real-Time Hough-Based Method for Segment Detection in Complex Multisensor Images

机译:基于实时霍夫的复杂多传感器图像分割检测方法

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摘要

This paper presents a real-time Hough-based algorithm for straight line segment extraction in complex multisensor images, which aims to avoid loss of spatial information as well as to eliminate spurious peaks and reduce discretization errors. A parameter space representation able to take into account spatial information during the voting phase is proposed. This representation allows the detection phase to be performed by focusing the algorithm on Particular locations of the parameter space.
机译:本文提出了一种基于Hough的实时算法,用于复杂多传感器图像中的直线段提取,目的是避免空间信息的丢失以及消除杂散峰并减少离散化误差。提出了一种能够在投票阶段考虑空间信息的参数空间表示。该表示允许通过将算法集中于参数空间的特定位置来执行检测阶段。

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