集美大学学报（自然科学版）2026，Vol.31Issue(1)：67-76,10.DOI:10.19715/j.jmuzr.2026.01.07
基于CAO的海域监控场景红外与可见光图像配准
CAO-Based Infrared and Visible Image Registration for Marine Surveillance Scenarios
摘要
Abstract
Infrared and visible light image registration in maritime surveillance is a highly challenging task.To address the challenges of low image contrast and diverse viewing angles in this scenario,this study has improved the contour angle orientation(CAO)registration algorithm and proposed the CAO-marine surveillance scenarios(CAO-MSS)registration algorithm for maritime surveillance.The improvements include two key inno-vations:introducing a feature enhancement module for maritime scenarios based on contrast limited adaptive histogram equalization(CLAHE)in the feature point extraction stage,and designing an adaptive tilt angle error threshold screening strategy based on the cumulative distribution function(CDF)in the coarse matching stage.To evaluate the CAO-MSS algorithm,this paper has constructed a dataset of infrared and visible light image pairs using real maritime surveillance data.Experiments on this dataset show that the CAO-MSS algorithm can obtain more and more accurate feature point matches,and the mosaic images demonstrate that the connection between infrared and visible light image blocks is more coherent and natural.In the quantitative analysis,com-pared with the original CAO algorithm,the average root mean square error(RMSE)of the CAO-MSS algorithm has decreased by 46.26%,and the average precision has increased by 15.4%.关键词
海域监控/轮廓角方向/红外与可见光图像/图像配准/直方图均衡化Key words
marine surveillance/contour angle orientation(CAO)/infrared and visible images/image regis-tration/histogram equalization分类
信息技术与安全科学引用本文复制引用
杨青霞,潘登,黄万林,陈尔康,黄斌..基于CAO的海域监控场景红外与可见光图像配准[J].集美大学学报（自然科学版）,2026,31(1):67-76,10.基金项目
福建省自然科学基金项目(2021J01133203) （2021J01133203）
