节点文献
点特征提取算法探讨
Discussion on Interest Operators for Extracting Point-liked Features
【摘要】 影像特征提取是影像匹配和三维信息提取的基础,是影像分析与单像处理技术领域中最重要的任务之一。有效的特征提取算法是影像分析与处理的关键。从点特征定义出发,叙述了两种常用的点特征提取算子---Moravec算子和Forstner算子的原理,利用Moravec算子和Forstner算子可以实现影像点特征的提取,并从提取点特征的准确度、提取速度对两种算子进行比较,最后得出了有益的结论。
【Abstract】 Features extraction is a foundation of image matching and 3D information acquiremeot,as well as one of the most important tasks in image analysis and single image treatment field.Features extraction is realized by Draw operators and can be eivided into some features and drawn operators and line features and Features extraction operators.Based on the definition of point-like features,two common interest operators:Moravec operator and Forstner operator are compared in this paper.Precision,speed and quantity of two operators are analyzed and some meaningful conclusions are drawn.
【Key words】 point-Liked features; feature extraction; moravec operator; forstner operator;
- 【文献出处】 东华理工学院学报 ,Journal of East China Institute of Technology , 编辑部邮箱 ,2007年01期
- 【分类号】P235
- 【被引频次】61
- 【下载频次】1417