A hierarchical approach to line extraction based on the Hough transform

John Princen, John Illingworth, Josef Kittler
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引用次数: 133

Abstract

An efficient method for finding straight lines in edge maps is described. The algorithm is based on a pyramid structure with each layer in the pyramid splitting the complete image into a number of subimages. At the bottom level of the pyramid short line segments are detected by applying a Hough transform to small subimages. The algorithm proceeds, bottom up, from this low level description by grouping line segments within local neighborhoods into longer lines. Line segments which have local support propagate up the hierarchy and take part in grouping at higher levels. The length of a line determines approximately the level in the pyramid to which it propagates. Hence we obtain a hierarchical description of the line segments in a scene which can be useful in matching. The algorithm has a number of advantages over previously proposed hierarchical methods for the detection of straight lines. It is quite efficient and has a particularly attractive architecture which is suitable for parallel implementation.

基于霍夫变换的分层线提取方法
描述了一种在边缘映射中求直线的有效方法。该算法基于金字塔结构,金字塔中的每一层将完整的图像分成许多子图像。在金字塔的底层,通过对小的子图像应用霍夫变换来检测短线段。该算法从低级描述开始,自下而上地将局部邻域内的线段分组为较长的线段。具有局部支持的线段向上传播层次结构,并参与更高层次的分组。一条线的长度大致决定了它在金字塔中传播的水平。因此,我们得到了场景中线段的层次描述,这对匹配是有用的。与先前提出的直线检测的分层方法相比,该算法具有许多优点。它非常高效,并且具有特别有吸引力的架构,适合并行实现。
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