基于图像灰度值分布的改进多重分形算法及其在溢油监测中的应用  

Improved multifractal algorithm based on image gray value distribution and its application in oil spill monitoring

作　　者：郭旭[1] GUO Xu(Tianjin Research Institute for Water Transport Engineering, Key Laboratory of Environmental Protection Technology on Water Transport, Ministry of Transport, Tianjin 300456,China)

机构地区：[1]交通运输部天津水运工程科学研究所,水路交通环境保护技术交通行业重点实验室,天津300456

出　　处：《水道港口》2020年第5期619-624,共6页Journal of Waterway and Harbor

基　　金：国家重点研发计划项目(2016YFE0204800);中央级公益性科研院所基本科研业务基金项目(TKS20200205);天津市交通运输科技发展项目(2017C-04,2017C-05,2019B-10)。

摘　　要：在石油勘探及储运过程中,发生的原油泄露是极为严重的环保和安全问题,由于此现象是小概率事件,且其发生情况的不确定性,对其进行长时间监测会造成人力资源的极大浪费。文章研究将改进的多重分形算法应用于溢油情况的自动监测,首先提出基于图像灰度的算法改进方式,并验证算法正确性,在此基础上,提出溢油自动监测的原理及方法。In the process of oil exploration,storage and transportation,the leakage of crude oil was a very serious environmental protection and safety problem.As the phenomenon of oil spill was a small probability event,and its occurrence was uncertain,a great waste of human resources wascausedby long-term monitoring.In this study,the improved multifractal algorithm is applied to the automatic monitoring of oil spill.Firstly,an improved algorithm based on image gray level was proposed,and the correctness of the algorithm is verified.On this basis,the principle and method of the automatic monitoring of oil spill were proposed.

关 键 词：分形 溢油 灰度值 

分 类 号：U698[交通运输工程—港口、海岸及近海工程] X52[交通运输工程—船舶与海洋工程]