利用标记生长从边缘图像中抽取线段

作为计算机视觉的中层处理部分，线段提取具有重要意义，它是底层处理到高层推理和高层计算的桥梁．在复杂的背景图像中自动提取出线段是可能的，却又是十分困难的．为此，提出一个基于有向边缘图像利用标记生长提取线段的新方法，它以同类方向边缘像素为标记对象，在当前像素的有向邻域中搜索相应的线段．实验结果表明，该方法在复杂图像中的有效性

Using Labeling and Growing to Extract Line Segments from Edge Images

As part of middle level processing in computer vision, line segments extraction is a bridge between low level processing and high level reasoning and high level computations. Automatically extraction of line segments in a complex scene is very difficult. A new technique that extracts line segments from directed edge images by labeling and growing was proposed. This technique labels on edge pixels of similar directions, and seeks a line segment candidate for the current edge pixel in its directed neighborhood. The experimental results show the validity of this technique in the cases of complex scenes. Some defects of this technique and further work directions were also presented.