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弹箭与制导学报 >

2021 , Vol. 41 >Issue 4: 65 - 68

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2021.04.015

基于多元灰度投影的无人艇电子稳像方法

  • 胡建祥 ,
  • 侯毅男
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  • 32381部队,北京 100072

胡建祥(1984—),江苏南通人,男,工程师,硕士研究生,研究方向:船舶与海洋结构物设计制造技术。

收稿日期: 2020-10-03

  网络出版日期: 2025-02-13

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USV Video Stabilization Algorithm Based on Multilayer Gray Projection

  • HU Jianxiang ,
  • HOU Yinan
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  • No.32381 Unit, Beijing 100072, China

Received date: 2020-10-03

  Online published: 2025-02-13

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摘要

为解决无人艇在行驶过程中艇身晃动造成的视频抖动问题,提出了一种基于多元灰度投影的无人艇电子稳像方法,通过采用差分灰度投影、环投影和圆投影,估计出相邻帧之间存在的相对运动关系并进行补偿,从而达到稳像的目的。与传统方法相比,对于大面积无意义纹理的抵抗性更好,因此对于水面环境具有更好的适应性。在实验阶段,通过对数据集和水面实拍视频进行处理和分析,结果表明文中方法对水面环境有很高的稳像精度和很强的鲁棒性。

关键词： 电子稳像; 无人艇; 差分灰度投影; 环投影; 圆投影

本文引用格式

胡建祥 , 侯毅男 . 基于多元灰度投影的无人艇电子稳像方法[J]. 弹箭与制导学报, 2021 , 41(4) : 65 -68 . DOI: 10.15892/j.cnki.djzdxb.2021.04.015

Abstract

In order to deal with the unsteadiness of the videos caused by the shakiness of unmanned surface vessels (USV) while it is driving. An USV video stabilization algorithm based on multilayer gray projection is proposed. The purpose of stabilization is achieved by estimating and compensating the motion with differential gray projection, ring projection and circular projection. The proposed algorithm is more suitable for water surface than the traditional methods because it is more robust to the meaningless textures. The precision and robustness of the proposed algorithm in water surface is tested by doing experiments on dataset and the videos taken in water surface.

Key words： digital video stabilization; unmanned surface vessels; differential gray projection; ring projection; circular projection

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