抽取直线方法是计算机视觉中尚待完善的问题之一.在若干多尺度边缘检测方法的基础上,提出了把线结构作为一种尺度空间特征的新思路.这样直线抽取过程就转化为尺度空间中的特征分析过程.通过分析线结构在尺度空间中的演化规律,提出了一种稳健的直线抽取算法.对合成图象和自然景物图象的实验结果表明了新方法的有效性.

This paper discusses the method of straight-line extraction, which is one of the open problems in computer vision. Based on the analysis of several multi-scale approaches for edge detection, a new idea which straight lines are considered as a kind of feature structures in scale space is developed. Then straight-line extracting is converted into the procedure of analyzing the features in scale space. After the characteristics of the line structures in scale space are analyzed, a robust approach for straight-line extraction is presented. Experimental results on a synthetic image and several natural scene images indict new algorithm's effectiveness.