基于归一化互信息和金字塔分解优化的图像配准算法研究

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英文篇名：Research on Image Registration Algorithm Based on Normalized Mutual Information and Pyramid Decomposition Optimization 作者：刘晓慧 ; 杨新锋 英文作者：Liu Xiaohui;Yang Xinfeng;Computer Network Center, Nanyang Institute of Technology;School of Computer and Information Engineering, Nanyang Institute of Technology; 关键词：多源图像 ; 图像配准 ; 互信息 ; 金字塔分解 英文关键词：Multi source image;;Image registration;;Complementary information;;Pyramid decomposition 中文刊名：WXDY 英文刊名：Microcomputer Applications 机构：南阳理工学院,计算机网络中心;南阳理工学院,计算机与信息工程学院; 出版日期：2016-11-20 出版单位：微型电脑应用 年：2016 期：v.32;No.283 基金：河南省科技攻关重点计划项目(122102210563,132102210215);; 河南省高等学校重点科研项目计划(15B520008) 语种：中文; 页：WXDY201611007 页数：4 CN：11 ISSN：31-1634/TP 分类号：23-26

摘要

针对红外和可见光图像的特点,提出了一种改进的以归一化互信息为相似性测度的异源图像配准方法。为了提高算法的效率,采用金字塔分解法对该算法进行了优化。以红外和可见光图像的配准作为验证实验,证明了该算法的有效性。
        In this paper, based on the features of infrared images and visible images, a new improved registration method has been put forward. The method takes normalized mutual information as the similarity measure of heterologous image. In order to speed up the algorithm, the pyramid decomposition method has been used to realize algorithm optimization. Registration experiments with the infrared and visible light images have proved the validity of the algorithm.

引文

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