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———MMoravec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。

-The image feature extraction image matching and 3D information extraction based on image analysis and image processing alone one of the most important task in the fields of technology. Effective feature extraction algorithm is the key to image analysis and processing. Starting from the definition of point features, described the two common points feature extraction operator--- MMoravec operator and son Forstner operator theory, using the Moravec operator and Forstner operator can achieve the image point feature extraction, and from the extraction point The accuracy of features, the extraction speed of the two operators, and finally arrive at useful conclusions.