湖南大学学报（自然科学版）2024，Vol.51Issue(12)：98-106,9.DOI:10.16339/j.cnki.hdxbzkb.2024287
基于潜水器观测影像的深海底质图像拼接方法
Image Mosaic Method of Deep-sea Substrate Based on Submersible Observation Images
摘要
Abstract
The field of vision of deep-sea submersibles is usually limited,and it is difficult to comprehensively observe the surrounding seabed through the video image of a single field of vision,which makes it more difficult for researchers to understand the overall distribution of seabed substrate.To solve the above problems,this paper proposes a fast stitching method of seabed substrate image based on the deep-sea submersible image.Firstly,the red channel of the video frame is corrected based on the image enhancement method of channel compensation,and the brightness enhancement and CLAHE processing are carried out.Secondly,the CUDA accelerated SURF algorithm is used to extract feature points and descriptors,and the KD tree algorithm is used to initially match the feature points of the front and back frames.Then,the KNN classification algorithm is used to eliminate the mismatching,and the interframe motion estimation is carried out for the screened matching points.The base map is generated through the transformation matrix and the front and rear frames are spliced.Finally,the feature point coordinates and interframe motion information are fused,and the above process is repeated to generate a continuous mosaic image.The video images obtained by"Jiaolong"in a certain voyage are used for mosaic processing experiments.The results show that this method has a good mosaic effect,and its feasibility is verified.关键词
深海潜水器/海底底质图像/水下图像增强/快速图像拼接Key words
deep-sea submersible/seafloor substrate image/underwater image enhancement/fast image stitching分类
信息技术与安全科学引用本文复制引用
丁忠军,王兴宇,刘晨,马广洋,李德威..基于潜水器观测影像的深海底质图像拼接方法[J].湖南大学学报（自然科学版）,2024,51(12):98-106,9.基金项目
国家重点研发计划资助项目(2017YFC0306600,2021YFC2802100),National Key Research and Development Program of China(2017YFC0306600,2021YFC2802100) （2017YFC0306600,2021YFC2802100）
山东省重点研发计划项目(2020JMRH0101),Key Research and Development Program of Shan-dong Province(2020JMRH0101) （2020JMRH0101）
