图像融合中角点检测技术研究

角点是图像很重要的特征,对图像图形的理解和分析有很重要的作用。角点检测在光流计算、运动估计、形状分析、相机标定和3D重建、视觉的定位和测量等方面有着重要的应用。根据实现方法不同,可将角点检测算法分为：基于模板的方法、基于边缘的方法、基于灰度值变化的方法。对上述几种方法进行了分析,回顾了各种处理方法的发展现状。指出,随着数学理论的完善和发展,利用小波分析和数学形态学的角点检测方法已经成为人们研究的热点。

A survey of Corner Detection Technique for Image Fusion

Corner is very important feature in the analysis and understanding of images or computer graphics.Corner detection has been used in optical flow computation,motion estimate,object tracking,shape analysis,camera calibration,3D reconstruction,location and measure of machine vision.In this paper,the corner detection algorithms are divided into three classes： template-based corner detection,boundary-based corner detection,and intensity change-based corner detection according to different realizations.Several of above these methods are analyzed,reviewed the status of the development of various processing methods.With the improvement and development of mathematical theory,using wavelet analysis and mathematical morphology corner detection methods become the research hot spots.