摘要
图像拼接技术是图像处理技术中的研究热点.对图像拼接技术进行分析与总结,基于图像拼接技术的发展历史与现状,介绍了图像拼接技术的背景与应用;概括了图像拼接的基本概念与拼接流程,主要研究了图像拼接中的图像配准技术,对图像配准中的经典算法进行分类概述,并研究了各算法的基本思想与优缺点,对其中的尺度不变特征变换算法进行了重点介绍,概述了图像融合的基本类别,详细介绍了图像融合中最常用的加权平均法,最后指出了图像拼接中的当前问题与发展趋势.
Image mosaicing was analyzed and summarized comprehensively.Based on the development of this technology the background and applications were described generally.The definition and steps of image mosaicing were indicated initially,and the algorithms of image registration were examined by classifying them into several groups.For each algorithm,especially the scale-invariant feature transform(SIFT),the basic theory and characteristics were demonstrated in detail.In the last part,the classifications of image fusion were illustrated and methods of this stage,specially the weighted average,were explained briefly.In addition,the challenges and tendencies of image mosaicing were also pointed out.
作者
裴红星
刘金达
葛佳隆
张斌
PEI Hongxing;LIU Jinda;GE Jialong;ZHANG Bin(School of Physics and Engineering,Zhengzhou University,Zhengzhou 450001,China)
出处
《郑州大学学报（理学版）》
CAS
北大核心
2019年第4期1-10,29,共11页
Journal of Zhengzhou University:Natural Science Edition
基金
国家自然科学基金项目(81171410)
关键词
图像拼接
图像配准
图像融合
SIFT
image mosaicing
image registration
image fusion
scale-invariant feature transform(SIFT)
