MRF模型去雾算法在机场场面监视中的应用
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(中国民用航空飞行学院空中交通管理学院,四川广汉 618307)

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V351

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MRF Model to Haze Algorithm for the Application of Scene Monitoring at the Airport
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(The ATC College, Civil Aviation Flight University of China, Guanghan Sichuan 618307, China)

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    摘要:

    面对日益严峻的雾霾天气对民航业的影响,在雾霾天气下的机场场面监视方面,文章提出了一种基于 MRF模型的去雾霾算法,并利用 CNC去雾霾效果评价体系与 Retinex、He等传统去雾霾算法的去雾效果进行了对比,可以看出,MRF模型去雾霾算法对场面监视的雾霾图像具有较好的效果性和鲁棒性。

    Abstract:

    In the face of increasingly severe haze weather influence on civil aviation, airports in haze weather conditionmonitoring aspect, in this paper, a kind of to haze algorithm was put forward based on MRF model, and the CNC to haze ef.fect evaluation system was used to haze and Retinex, He and other traditional algorithms to haze effect were compared. Itcan be seen that the MRF model to haze algorithm for condition monitoring of haze image has better effect and robustness.

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引用本文

向征,高华,李建锋. MRF模型去雾算法在机场场面监视中的应用[J].海军航空大学学报,2019,34(1):107-111
XIANG Zheng, GAO Hua, LI Jianfeng. MRF Model to Haze Algorithm for the Application of Scene Monitoring at the Airport[J]. JOURNAL OF NAVAL AVIATION UNIVERSITY,2019,34(1):107-111

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  • 在线发布日期: 2019-04-28
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