摘要
针对红外与可见光图像配准过程过受灰度差异影响大、特征点难配准的问题,提出基于显著性检测和ORB特征点的图像配准算法。首先利用优化的HC-GHS显著性检测算法得到图像的显著性结构图;其次利用ORB算法在显著性结构图上进行特征点检测,利用泰勒级数筛选出鲁棒性强的特征点,并根据特征点的方向进行分组匹配的策略;最后利用汉明距离实现特征点的匹配。实验表明本文算法能准确实现红外与可见光图像之间的配准,在红外噪声干扰、尺度变化下都具有良好效果。
Aiming at the problem that the registration process of infrared and visible images is greatly affected by the difference of gray level and the registration of feature points is difficult,an image registration algorithm based on saliency detection and ORB feature points is proposed. Firstly,the optimized HC-GHS saliency detection algorithm is used to obtain the saliency map of the image. Secondly,ORB algorithm was used to detect the feature points on the saliency map,and the robust feature points were screened by Taylor series,and the grouping matching strategy was carried out according to the direction of feature points. Finally,hamming distance is used to match the feature points. Experiments show that the proposed algorithm can achieve the registration between the infrared and visible images accurately,and it has good effect under the infrared noise interference and scale changes.
作者
江泽涛
刘小艳
王琦
JIANG Ze-tao;LIU Xiao-yan;WANG Qi(The Key Laboratory of Image and Graphic Intelligent Processing of Guangxi,Guilin University ofElectronic Technology,Guilin 541004,China;The Key Laboratory of Image and Graphic IntelligentProcessing of Higher Education in Guangxi,Guilin University of Electronic Technology,Guilin 541004,China)
出处
《激光与红外》
CAS
CSCD
北大核心
2019年第2期251-256,共6页
Laser & Infrared
基金
国家自然科学基金项目(No.61572147)
广西科技计划项目(No.AC16380108
No.2015BC19022)
桂林电子科技大学图像图形智能处理重点实验项目(No.GIIP201701)
广西可信软件重点实验室项目(No.kx201502)
广西研究生教育创新计划资助项目(No.YJCXS201536
No.2016YJCX71)资助
作者简介
江泽涛 (1961-),男,博士,教授,研究方向为数字图像处理、访问控制与信息安全;通讯作者:刘小艳(1993-),女,硕士,研究方向为数字图像处理。E-mail:1054878624@qq.com.
