图像配准中特征点检测算法的探讨

Discussion of Feature Points Extration Methods in Image Registration

特征点是图像的一种重要局部特征,特征点检测是基于特征点图像配准的关键技术。通过特征点的提取与处理,对把握图像的局部及整体特征,特别对图像配准及目标识别等领域都具有重要的实际意义。详细介绍了图像配准中主流的特征点提取方法,并分析其优缺点。通过实验,利用特征点评价方法对各种算法的性能进行比较,对图像配准的研究具有一定的指导意义。

Feature point is a key local feature of image,and feature point extration is an important step of image registration based on the feature points.Through the feature point extration and processing,it has the important practical significance for grasping the local and general characteristics of the image,especially for image registration and target recognition,and so on.This paper introduces several popular methods of feature points,and analyzes the advantages and disadvantages.Experiments show that some feature point detection methods are compared by means of evaluation factors,which has certain directive significance for image recongistion.