基于局部特征聚类匹配的多谱图像配准方法  

Multispectral Image Registration Method Based on Local Feature Clustering Match

作　　者：李乔亮[1] 汪国有[1] 刘建国[1] 陈少波[1] 

机构地区：[1]华中科技大学图像识别与人工智能研究所,武汉430074

出　　处：《计算机工程》2009年第15期4-6,共3页Computer Engineering

基　　金：国家自然科学基金资助项目(60672060)

摘　　要：针对基于局部特征匹配的图像配准和识别算法对于多谱段图像配准性能较差的缺点,提出一种基于局部特征聚类匹配的图像配准方法,该方法针对多谱图像的特点构建优化的局部特征提取算子,根据特征点对的相对主方向统计信息对初始匹配点集重新聚类,求出正确匹配的点对子集以实现配准。实验结果表明,该算法较大地提高了多谱图像配准的正确率和精度。Image registration and object recognition algorithm based on local feature match often falls when aligning multispectral images. Aiming at such shortcoming, this paper presents a registration algorithm based on local feature match by using clustering. It builds optimized local feature descriptors according to the characteristic of multispectral images and obtains the correct set of corresponding points by using the statistical information of the relative main orientation. Experimental results confirm that the correct rate and registration accuracy are substantially improved by the algorithm.

关 键 词：多谱图像 局部特征 特征聚类 配准 匹配 

分 类 号：TN911.73[电子电信—通信与信息系统]