一种基于边缘积分与邻域提纯的图像匹配方法
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引用本文:王鹏程,龙永新,文志强,吴金津,廖飞.一种基于边缘积分与邻域提纯的图像匹配方法[J].计算技术与自动化,2015,(3):100-104
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王鹏程,龙永新,文志强,吴金津,廖飞 (湖南工业大学 计算机与通信学院湖南 株洲412007) 
中文摘要: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。
中文关键词:Harris算法  NCC  积分图像  图像匹配
 
An Image Matching Method Based on Edge Integral and Neighborhood Purification
Abstract:For questions that Harris algorithm detect corner,the threshold is set to be repeated, the paper has been improved on the Harris algorithm, using the edge of the integral image, the number of edge point on neighborhood to determine the corresponding threshold. Meanwhile, the NCC algorithm was further improved by comparing the point of the beginning of the inner case of matching the distribution of edge points, the matching point of the early eluting reduces the running time of the algorithm.
keywords:harris algorithm  NCC  integral image  image matching
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