利用Harris算子进行广义点摄影测量特征提取及其矢量化

Generalized Point Photogrammetry Feature Extraction Based on Harris Operator and Vectorization

提出了一种基于非局部极值抑制的Harris算子,实现了特征点和边缘线的联合提取。采用基于主方向的边缘跟踪,实现了边缘的矢量化存储。实验证明,改进后的Harris算子在特征点和边缘线联合提取时较原始算法效果更好。本算法采用一定的数学模型对边缘线进行拟合,从而进一步对边缘特征进行描述,有利于数据管理和后期的特征匹配。

An improved combined corner and edge detector which introduced a non-local maximum suppression method based on Harris operator is proposed.The extracted edge based on the principal orientation is traced,and the edge for the sake of further storage is vectorized.The experimental results show that the improved Harris operator performed better in feature extraction compared to the original algorithm.The description of the edge with certain mathematical model is beneficial for the further data management and feature matching.