Automated Processing of Oceanic Bubble Images for Measuring Bubble Size Distributions underneath Breaking Waves
Automated Processing of Oceanic Bubble Images for Measuring Bubble Size Distributions underneath Breaking Waves
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DOI：
10.1175/jtech-d-15-0222.1
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发表时间：
2016-08
影响因子：
2.2
通讯作者：
R. Al-Lashi;S. Gunn;H. Czerski
中科院分区：
文献类型：
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作者：
R. Al-Lashi;S. Gunn;H. Czerski
摘要为了更好地了解海气传输和气溶胶产生过程，需要对破碎波下海洋气泡大小分布进行精确的原位测量。为了实现这一目标，一种新型的高分辨率光学仪器于2013年设计并建造，用于北大西洋的高风气体交换研究（HiWinGS）活动。该仪器能够自主操作，并可以在8小时的部署中以每秒15帧的速度连续捕获高分辨率图像。大量的图像意味着必须使用自动处理算法来处理这些图像。本文提出了一种基于鲁棒特征提取技术的海洋图像自动处理算法。该算法的主要优点是对噪声的敏感性明显降低，不受背景光照变化的影响，可以提取小到1像素(约20 μ…
AbstractAccurate in situ measurements of oceanic bubble size distributions beneath breaking waves are needed for a better understanding of air–sea gas transfer and aerosol production processes. To achieve this goal, a novel high-resolution optical instrument for imaging oceanic bubbles was designed and built in 2013 for the High Wind Gas Exchange Study (HiWinGS) campaign in the North Atlantic Ocean. The instrument is able to operate autonomously and can continuously capture high-resolution images at 15 frames per second over an 8-h deployment. The large number of images means that it is essential to use an automated processing algorithm to process these images. This paper describes an automated algorithm for processing oceanic images based on a robust feature extraction technique. The main advantages of this robust algorithm are it is significantly less sensitive to the noise and insusceptible to the background changes in illumination, can extract circular bubbles as small as one pixel (approximately 20 μ...