An Algorithm to Estimate the Thickness of Broken Arctic Ice Using an Image

Jong-Ho Nam, Inha Park, Ho-Jin Lee, Young Gyo Seo, Kyungsik Choi
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Abstract

The thickness of ice is the major factor affecting the rapid and safe cruise of icebreaking vessels. Unfortunately, measuring the ice thickness has been known to be a difficult task. An approach to measure the ice thickness by analyzing the video clips of ice breaking is introduced. From a series of still shots, the broken section of the ice is identified using image processing techniques such as conversion of color space, edge detection, boundary motion, and various digital smoothing filters. The algorithm developed is verified by comparing the results with measured data.
一种利用图像估计北极破冰厚度的算法
破冰厚度是影响破冰船快速安全巡航的主要因素。不幸的是,测量冰层厚度一直是一项艰巨的任务。介绍了一种通过分析破冰视频片段来测量冰厚的方法。从一系列的静止镜头中,使用图像处理技术,如色彩空间转换、边缘检测、边界运动和各种数字平滑滤波器来识别冰的破碎部分。通过与实测数据的比较,验证了算法的正确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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