一种基于边缘积分与邻域提纯的图像匹配方法

An Image Matching Method Based on Edge Integral and Neighborhood Purification

在利用Harris算子检测角点时,不同的图片有时需要需多次设置阈值,才能得到理想的角点分布,本文对Harris算子作改进,采用边缘积分图像,统计邻域内边缘点的数量,确定对应的阈值。同时,对NCC算法作了进一步的改进,通过比较初匹配点对内边缘点分布的情况,对初匹配点进行提纯,降低了算法的运行时间。

For questions that Harris algorithm detect corner,the threshold is set to be repeated,the paper has been im-proved on the Harris algorithm,using the edge of the integral image,the number of edge point on neighborhood to deter-mine the corresponding threshold.Meanwhile,the NCC algorithm was further improved by comparing the point of the be-ginning of the inner case of matching the distribution of edge points,the matching point of the early eluting reduces the run-ning time of the algorithm.