摘要
指出了多模态图像的配准可以很好地结合不同图像的特点,为图像分析提供更丰富的信息。其中红外和可见光图像的配准作为其中一员,近年来广泛被应用于军事、遥感、安防等领域。在此之前,已经有部分学者对红外与可见光配准算法进行了综述。但随着时代的发展,越来越多的算法被提出,有必要对其研究现状进行新的综述。首先分析了红外与可见光配准目前存在的难点,然后按照基于特征和基于区域的配准方法对近十几年的文献按照时间顺序进行了综述,最后对这两类算法的优劣进行了总结性的分析,同时对后续的研究方向进行了一些展望。
Multimodal image registration can well combine the characteristics of different images and provide rich information for image analysis.As one of them,infrared and visible image registration has been widely used in military,remote sensing,security and other fields in recent years.Previously,some scholars have reviewed the infrared and visible light registration algorithms.However,with the development of the times,more and more algorithms have been proposed,and it is necessary to make a new overview of their research status.Firstly,the existing difficulties of infrared and visible light registration are pointed out.Then,according to the methods of feature-based and region-based registration,the literature in recent decades is reviewed in chronological order.Finally,the advantages and disadvantages of these two kinds of algorithms are summarized and analyzed.At the same time,the future research directions are prospected.
作者
万昕
Wan Xin(College of Biomedical Engineering,South-Central University for Nationalities,Wuhan,Hubei,430074,China)
出处
《绿色科技》
2019年第2期152-155,共4页
Journal of Green Science and Technology
关键词
红外图像
可见光图像
图像配准
特征提取
互信息
infrared image
visible image
image registration
feature extraction
mutual information
