摘要
分析了传统的基于灰度和基于特征的匹配算法,提出了一种基于边缘特征和相关系数的新匹配算法.该算法首先对潜在匹配图像和模板图像利用高斯拉普拉斯(LOG)算子和梯度算子提取影像的边缘,然后提取二值化图像,最后再利用相关系数法对二值化后的边缘影像进行匹配运算,得到正确的匹配结果.该算法融合了传统算法的优点.利用该算法对上海的SPOT 5 m分辨率不同波段的卫星影像进行了匹配试验,获取了比较好的匹配效果.
A hybridized matching algorithm is proposed based on edge feature and correlation coefficient method after analyzing traditional grey-based algorithms and feature-based algorithms. In the algorithm, firstly the edges of two images are extracted by using LOG operator and gradient operator, then the edge images is transferred to binary images, finally the two images are matched using correlation coefficient method. In a test of SPOT 5 m resolution images of different bands of Shanghai, a good match result is achieved.
出处
《浙江大学学报（理学版）》
CAS
CSCD
北大核心
2005年第6期716-720,共5页
Journal of Zhejiang University（Science Edition）
关键词
图像匹配
边缘特征
二值化
相关系数法
image matching
edge feature
binary representation
correlation coefficient method
