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基于鲁棒Hausdorff距离和遗传搜索的快速匹配方法
引用本文:张春美,孙雷,龚志辉.基于鲁棒Hausdorff距离和遗传搜索的快速匹配方法[J].海洋测绘,2009,29(1):42-45.
作者姓名:张春美  孙雷  龚志辉
作者单位:1. 73603部队,江苏,南京,210049
2. 73608部队,江苏,南京,210000
3. 解放军信息工程大学,测绘学院,河南,郑州,450052
摘    要:采用SIFT算子提取特征点,减少图像数据量,针对传统Hausdorff距离对噪声、出格点较敏感的问题对其进行改进,并以改进后的鲁棒Hausdorff距离作为匹配测度,利用非遍历而又有效的遗传搜索策略进一步提高了匹配速度。对发生旋转变形和灰度变化的遥感影像进行模拟实验,实验结果证明了该算法的有效性和快速性。

关 键 词:特征点提取  Hausdorff距离  遗传算法  图像匹配

A Fast Image Matching Approach Based on a Noval Robust Hausdorff Distance and Autoadaptive Genetic Algorithm
ZHANG Chun-mei,SUN Lei,GONG Zhi-hui.A Fast Image Matching Approach Based on a Noval Robust Hausdorff Distance and Autoadaptive Genetic Algorithm[J].Hydrographic Surveying and Charting,2009,29(1):42-45.
Authors:ZHANG Chun-mei  SUN Lei  GONG Zhi-hui
Institution:1.73603 Troops;Nanjing;Jiangsu;210049;2.73608 Troops;210000;3.Institute of Surveying and Mapping;Information Engineering University;Zhengzhou;Henan;450052
Abstract:This paper proposed a fast image matching approach that could solve the problem of image rotation and intensity change.First,a fast robust feature detector called SIFT detector is used to detect feature points in both test image and object image.Then,an improved Hausdorff distance used as matching measure is present.Further,an autoadaptive genetic algorithm as searching strategy is proposed.At last,experiment to satellite image which has been rotated and changed in intensity manually shows that the proposed...
Keywords:feature point detecting  Hausdorff distance  genetic algorithm  image matching  
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