混合Forstner算法和SIFT灰度图像特征点提取

Hybrid Forstner Algorithm and SIFT Gray Image Feature Extraction

提出了一种混合Forstner算子和SIFT相结合的图像特征点提取算法。本文首先介绍了灰度图像特征点提取的原理,接着针对传统的Forstner算子需要对图像中所有的像素点进行扫描导致速度比较慢等问题,采用SIFT算法快速准确地去除一些无关的点,然后在剩下的点中进行提取。实验结果证明了本文提出的方法能够有效地提取图像关键点信息。

This paper presents a hybrid Forstner operator and SIFT combination of image feature point extraction algorithm.This paper firstly introduces the principle of gray image feature extraction,and then for the traditional Forstner operators need to image all pixels in the scan result is slow wait for a problem.The experimental results show that the proposed method can effectively extract the image point information.