基于改进ORB的图像匹配算法优化

Optimization of Image Matching Algorithm Based on Improved ORB

在以往的ORB算法中,过于关注算法的效率,而忽视了算法的精准性。为了解决这样的问题,提出了一种改进的ORB算法。先对图像进行初步处理,紧接着利用自适应阈值确定大致候选点,再去除图像边缘的不稳定点,最后利用实验验证的方法,获得了改进前后算法的特征点提取效果图,得出改进后的算法能够获得更高的准确性。

In the past ORB algorithm,too much attention was paid to the efficiency of the algorithm,and the accuracy of the algorithm was ignored.In order to solve this problem,this paper proposes an improved ORB algorithm.Firstly,the image is preliminarily processed,then the adaptive threshold is used to determine the large candidate points,and then the unstable points on the edge of the image are removed.Finally,the experimental verification method is used to obtain the feature point extraction effect picture of the improved algorithm,and the improved algorithm can obtain higher accuracy.