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|本期目录/Table of Contents|

基于角点响应函数的加权Hausdorff距离匹配算法(PDF)

《探测与控制学报》[ISSN:1008-1194/CN:61-1316/TJ]

期数:
2009年06期
页码:
29
栏目:
出版日期:
2009-12-26

文章信息/Info

Title:
Weighted Hausdorff Distance Matching Algorithm Based on Corner Response Function
文章编号:
1008-1194(2009)06-0029-04
作者:
徐一鸣1; 刘晓利1; 刘怡昕2
1.瞬态物理国家重点实验室，南京理工大学，江苏 南京210094；2.南京炮兵学院，江苏 南京211132
Author(s):
XU Yi-ming1; LIU Xiao-li1; LIU Yi-xin1; 2
1.National Key Laboratory of Transient Physics,Nanjing University of Science & Technology,Nanjing 210094,China;
2.Nanjing PLA Artillery Academy,Nanjing 211132,China
关键词:
图像配准; 特征点匹配; SUSAN角点检测; 加权Hausdorff距离; 角点响应函数
Keywords:
image registration; feature points matching; SUSAN corner detection; weighted Hausdorff distance; corner response function
分类号:
TP391
DOI:
.
文献标识码:
A
摘要:
常见的图像匹配算法对目标遮挡以及非零均值噪声比较敏感，为此提出一种基于特征点的图像匹配算法，根据SUSAN算子提取图像的角点作为特征点，然后采用加权的部分平均Hausdorff距离对两个角点集合进行计算，通过引入角点响应函数的差异来抑制接近中心的误匹配点对图像匹配造成的干扰，从而实现较恶劣环境下目标的配准。实验结果证明了该算法具有较强的鲁棒性。
Abstract:
Common image matching algorithms are sensitive to target occlusion and noise of non-zero mean.To resolve this problem,a feature point based matching algorithm is proposed.Corners of template and input images found by using SUSAN operator,and the similarity of the two corner sets is calculated with weighted partial mean Hausdorff distance.The algorithm uses the difference between corner response functions to suppress the interference from error corners which are near to the matching center,and realize the image registration under bad conditions.The experiment has proved the robustness of this algorithm.

参考文献/References

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备注/Memo

备注/Memo:
*收稿日期：2009-04-20        修回日期：2009-06-18
作者简介：徐一鸣(1981-)，男，江苏南通人，博士研究生，研究方向：弹箭精确制导技术。E-mail：helloyiming@sina.com。
更新日期/Last Update: 2010-01-07