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基于视觉传达技术的舰船航行图像去雾增强方法

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大雾天气对舰船在海上航行的安全造成极大干扰,同时也对雾天舰船的作战能力产生影响.大雾天气下获取的图像会存在舰船特征信息丢失、对比度失真等情况,本文提出基于视觉传达技术的舰船航行图像去雾增强方法,研究雾天的图像衰减模型,在此基础上研究直方图均衡法和多源目标融合图像去雾算法,并对比不同算法的图像去雾效果.提出基于视觉传达的船舶特征提取方法,实现视觉传达的雾天舰船航行图像监控系统,通过对图像的去雾及增强,改善了雾天下图像的视觉效果,提升了舰船航行的安全性.
A defogging enhancement method for ship navigation images based on visual communication technology
Foggy weather greatly interferes with the safety of ships sailing on the sea,and also affects the combat abil-ity of ships in foggy weather.The image acquired in foggy weather will have ship feature information loss,contrast distor-tion,etc.In this paper,an enhancement method for ship navigation image defogging based on visual communication techno-logy is proposed,and the image attenuation model in foggy days is studied.On this basis,histogram equalization method and multi-source target fusion image intensity defogging algorithm are studied,and the image defogging effects of different al-gorithms are compared.A ship feature extraction method based on visual communication is proposed,and a ship navigation image monitoring system based on visual communication is realized.By de-fogging and enhancing images,the visual effect of images in foggy days is improved,and the safety of ship navigation is enhanced.

visual communication technologyimage defoggingshipsimage fusionfeature extraction

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郑州科技学院,河南郑州 450064

视觉传达技术 图像去雾 舰船 图像融合 特征提取

2024

舰船科学技术
中国舰船研究院,中国船舶信息中心

舰船科学技术

CSTPCD北大核心
影响因子:0.373
ISSN:1672-7649
年,卷(期):2024.46(7)
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