摘要
基于点特征的影像匹配是计算机视觉界比较流行的匹配方法,包括特征提取和特征匹配2个步骤。在介绍保持结构的形态学方法——SUSAN算子和Harris算子原理的基础上,根据真实影像,就特征点提取的数量、分布及匹配有效性等方面对上述2种算子进行分析比较。编程实现SUSAN,Harris算子影像的点特征提取,基于匹配支持度的松弛匹配算法,从而获得研究实验数据。实验表明:这2种算子在特征提取及影像匹配等方面各自具有其独特的优势,且均具有操作简单、易于实现的特点。
The method of matching based on point feature is popular in computer vision. It includes two steps, which are feature extraction and feature matching. After introducing the principle of SUSAN, which is structure preserving morphological operation and Harris comer detector, we compared and analyzed the two comer detector from the amount of interest points they picked up, distributing and validity of matching etc. The experiment indicates that the two kinds of comer detector have their own unique advantages.
出处
《西安科技大学学报》
CAS
北大核心
2007年第4期608-611,616,共5页
Journal of Xi’an University of Science and Technology
基金
陕西省教育厅专项科研计划项目(06KJ239)
