文章摘要
MRF模型去雾算法在机场场面监视中的应用研究
MRF model to fog algorithm for the application of scene monitoring at the airport
投稿时间:2019-01-12  修订日期:2019-02-14
DOI:
中文关键词: 雾霾天气  机场场面监视  MRF模型算法  CNC评价体系
英文关键词: Fog weather The airport scene monitoring MRF model algorithm Evaluation system of CNC
基金项目:四川省横向科研项目(0121803),中国民用航空飞行学院研究生创新项目(x2017-30)
作者单位E-mail
李建锋 中国民用航空飞行学院 1522195660@qq.com 
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中文摘要:
      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,本文提出了一种基于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。
英文摘要:
      In the face of increasingly severe haze weather influence on civil aviation, airports in haze weather condition monitoring aspect, this paper puts forward a kind of to haze algorithm based on MRF model, and use the CNC to fog effect evaluation system to haze and Retinex, He and other traditional algorithms to fog effect were compared, it can be seen that the MRF model to haze algorithm for condition monitoring of fog image has better effect and robustness.
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