Extracting lines using a modified Hough transformation

Yeon Kim, Sung-Pil Lyu
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引用次数: 1

Abstract

Summary form only given, as follows. An efficient algorithm that extracts lines using a point and a direction parameters from an edge image is discussed. In this algorithm, a line equation is derived for every pair of two edge elements in the image, and lines are extracted using a one-dimensional accumulator (instead of a two-dimensional accumulator, as in the conventional Hough transform methods). The advantages of this algorithm over the conventional Hough transform methods are a fast processing time and less chance of multiple detection for a single line. These advantages come mainly from the facts that the edge elements included in a line are removed from the image when the line is extracted, and the direction parameter of a line is computed only once for a pair of two edge elements which form the line. This means that the processing time does not increase proportionally to the accuracy of lines to be extracted. The algorithm has been implemented on an IBM-PC/AT using the Pascal programming language, and synthetic and real images have been used to show the performance of the algorithm.<>
使用改进的霍夫变换提取行
仅给出摘要形式,如下。讨论了一种利用点和方向参数从边缘图像中提取直线的有效算法。在该算法中,对图像中的每一对两个边缘元素推导出一个直线方程,并使用一维累加器(而不是传统霍夫变换方法中的二维累加器)提取直线。与传统的霍夫变换方法相比,该算法具有处理时间快、单线多次检测概率小等优点。这些优点主要来自于在提取直线时将包含在直线中的边缘元素从图像中去除,并且对于构成直线的一对两个边缘元素只计算一次直线的方向参数。这意味着处理时间不会随着要提取的线条的精度成比例地增加。采用Pascal编程语言在IBM-PC/AT上实现了该算法,并用合成图像和真实图像验证了算法的性能
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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