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。-Image feature extraction and image matching are three-dimensional information extraction is based on image analysis and single-treatment technology as the most important tasks. Effective feature extraction algorithm for image analysis and processing are the key. Characteristics from the point of definition, describes the two commonly used feature extraction operator points--- Moravec operator and Forstner operator principle, using Moravec Operator and Forstner operator can realize image feature extraction point, and from the extraction point characteristics of accuracy, speed of extraction operator to compare the two, and finally arrive at a useful conclusion.