序列图像中直线边缘快速提取和匹配

针时飞行器视觉导航等实时性较强的应用，给出了一种在航空序列图像中进行直线边缘快速提取和匹配的方案。在提取直线边缘时，运用了当前速度较快的邻接元素标记方法，从而提高了直线边缘提取速度。而在时直线边缘进行匹配时，给出了一种分三步走的方案，并提出了一种能够有效降低噪声影响的度量方式。首先选择3条直线边缘作为参考模型，在直线边缘的方向、位置以及物理特性的约束下构建候选匹配基，然后在基于矢量技术的基础上确定与参考模型基相对应的匹配模型，在此基础上再确定其他直线边缘之间的对应关系。试验结果表明，本文的直线边缘匹配方法比现有的方法速度提高了30倍以上，能够有效地满足一些实时性较强的应用。

Fast Extraction and Matching of Straight Lines on Sequential Images

Aimed at the real-time application, such as air vehicle visual navigation, a scheme for fast extracting and matching line segments on the aerial sequential images is proposed. In straight line extraction, a fast connected-component labeling algorithm is employed to improve the extraction speed. And when tracking line segments, a three-step method and a metric robust to the noise are proposed. Firstly, three line segments are selected as a reference model. Subject to the orientational, positional and physical constraints, the candidate model is constructed. Then the exact matching model corresponding to the reference model is determined based on the eigenvector technique. Based on the reference and matching model, other straight line correspondence is determined. Experiment on the real images demonstrates that the proposed matching method is more than 30 times than the existing method at computation speed. It can meets the need of the real-time application.