| 基于热红外图像的海面油膜面积的测算方法 |
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| 引用本文： | 王利锋,辛丽平,于波,鞠莲,魏来,胡湛波.基于热红外图像的海面油膜面积的测算方法[J].海洋通报,2020,39(6):750-760. |
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| 作者姓名： | 王利锋 辛丽平 于波 鞠莲 魏来 胡湛波 |
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| 作者单位： | 青岛理工大学信息与控制工程学院,山东青岛266000;国家海洋局北海环境监测中心,山东青岛266033;山东省海洋生态环境与防灾减灾重点实验室,山东青岛266033;国家海洋局北海环境监测中心,山东青岛266033;广西大学资源环境与材料学院,广西南宁530000 |
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| 基金项目： | 山东省重点研发项目 （2018GHY115025）；国家自然科学基金 （201606141）；山东省自然科学基金 （ZR2016FB04）；中国博士后面上项目 （2018M642611）；南宁市科学研究与开发计划项目-重点研发类 （20183045-2） |
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| 摘 要： | 针对现有油膜检测技术难以准确测算油膜面积且检测精度受天气条件影响大的问题，本文提出了一种基于热红外图像的海面油膜面积测算方法。采用波段为 8耀14 滋m 的红外热像仪获取海面油膜的热红外图像，对采集的油膜图像进行预处
理 （灰度化、中值滤波和锐化）；基于图像灰度分布特征分割油膜区域 （感兴趣区域，ROI），采用形态学操作对 ROI 进行填充、腐蚀与膨胀，并对 ROI 进行数学表征；通过像素面积法计算 ROI 实际物理面积。实验结果表明：在不同的外界天气环境下 （如海浪、海风、海雾、不同光照等环境），该方法对不同黏度的石油样品在海面形成的油膜均有良好的检测精度， ROI 面积计算平均误差为 3.77%。
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| 关 键 词： | 油膜面积 热红外图像 图像处理技术 像素面积法 |
| 收稿时间： | 2020/3/25 0:00:00 |
| 修稿时间： | 2020/7/24 0:00:00 |
A calculation method for oil film area at sea surface based on thermal infrared image |
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| WANG Lifeng,XIN Liping,YU Bo,JU Lian,WEI Lai,HU Zhanbo.A calculation method for oil film area at sea surface based on thermal infrared image[J].Marine Science Bulletin,2020,39(6):750-760. |
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| Authors: | WANG Lifeng XIN Liping YU Bo JU Lian WEI Lai HU Zhanbo |
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| Institution: | School of Information and Control Engineering, Qingdao University of Technology, Qingdao 266000, China;North China Sea Environment Monitoring Center, State Oceanic Administration,Qingdao 266033, China; Key Laboratory of Marine Ecological Environment and Disaster Prevention and Reduction, Shandong Province. Qingdao 266033, China; School of Resources Environment and Materials, Guangxi University, Nanning 530000, China |
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| Abstract: | Due to the influence of weather conditions, it is difficult to measure the oil film area at the sea surface accurately. This paper proposed a method to measure and calculate the oil film area at the sea surface based on the thermal infrared image. The image of oil film is obtained by infrared thermal imager with band of 8-14m and preprocessed by gray conversion,median filtering and sharpening. Based on the grayscale of each image, the oil film region (region of interest, ROI)is segmented. Then, the morphological operator is used to fill, erode and dilate the oil film region of the image, and ROI is mathematically characterized. The pixel area calculation method is used to calculate the actual physical area of ROI. The experimental results show that this method is accurate and reliable for calculating the area of the oil film from some oil samples with different viscosity in different external weather environments, such as the presence of waves, sea winds, sea fog, and different light intensity. The mean error of ROI area is 3.77%. |
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| Keywords: | oil film area thermal infrared image image pre-processing pixel area calculation method |
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