中文摘要：

提出一种通过直线描述子来进行自动直线匹配的思想．直线描述子的建立分为以下3个主要步骤：首先为直线定义平行邻域并将该邻域分解为一系列平行线，其次通过选择图像特征建立直线描述矩阵，最后通过计算描述矩阵列向量的均值和标准差获得直线描述子．基于不同的图像特征（灰度、梯度和梯度幅值），提出3个具有平移、旋转和线性光照不变性的直线描述子．实验结果表明本文提出的直线描述子具有较好的匹配性能．

英文摘要：

An idea is put forward for automatic line matching based on line descriptor. Firstly, a parallel neighborhood for a line segment is defined and it is decomposed into several parallel line segments. Next, a line description matrix （DM） is formed by selecting an image feature. Finally, the descriptor of line descriptor is obtained by computing the mean and standard deviation of column vectors of DM. Thus, the line descriptor construction is accomplished. Based on different image features （gray, gradient and gradient magnitude）, three line descriptors are proposed for line matching and all of them are invariant to image shift, rotation, and linear illumination changes. Experimental results show that these descriptors have good performance in line matching.