一种稳健的直线提取算法

A Robust Approach to Extracting Straight Lines

直线是图像分析中一种非常重要的中层描述符号 .已有的提取算法较多 ,但都存在一些缺陷 ,限制了它们的使用范围 .提出一种稳健的直线提取算法 ,设计了一系列的方法来克服实际图像中存在的种种干扰和噪声 .首先提取并细化边缘 ,然后利用卡尔曼滤波器跟踪边缘点 ,获得直线支持区 ,最后设计一种稳健的方法来拟合直线支持区 .实验结果表明 ,这种算法具有良好的性能 。

Straight lines are very important intermediate level symbol in image analysis. There are many approaches to extracting straight lines, but they all have their particular drawbacks to limit their use. A robust approach to extracting straight lines is proposed in this paper. A series of methods are devised to overcome all kinds of noise in real images. It firstly thins edge points, and then tracksthem to form line support regions by using the Kalman filter, finally line support region is approximated to a line by using a robust method. The experimental results show that this line finder has a perfect performance and is suitable to a wide range of real images.