基于形态学重建算法的海底多金属结核覆盖率统计研究
Study on the Coverage of Seabed Polymetallic Nodules Using the Morphological Reconstruction Algorithm
  
DOI:
中文关键词:  多金属结核  覆盖率  最大类间方差  形态学重建
英文关键词:polymetallic nodules  coverage  maximum between-cluster variance  morphological reconstruction
基金项目:
作者单位
丁忠军1,王昌诚2 1. 国家深海基地管理中心2. 青岛科技大学 
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中文摘要:
      为提高海底多金属结核覆盖率统计的精度,提出一种在图像处理后期填加形态学重建算法的优化方法。实验中,分别采用网格计数法、二值化图像处理法和形态学重建算法,对蛟龙号拍摄的海底多金属结核图像进行了覆盖率的统计和对比分析。实验结果表明:传统的网格计数法作为一种人工统计方法,工作量大,耗时费力且统计误差不稳定;二值化图像处理法统计效率和精度大大提高,但该方法无法如网格计数法般避免多金属结核表面被海底障碍物(软泥、砂砾等)覆盖带来的部分统计误差,使统计结果偏低;优化后的算法二值化阈值自动提取,遮盖区域得到填充,有效地弥补了其他两种方法的缺点,统计快速,准确率提高。
英文摘要:
      To improve the statistical accuracy of seabed polymetallic nodule coverage, a morphological reconstruction algorithm is proposed as an optimized method in post-image processing. In the experiment, the methods of grid-counting, image binaryzation and morphological reconstruction are carried out to compute and analyze the coverage of the seabed polymetallic nodule images taken by the “Jiao long” manned deep-sea research submersible. As a result, the traditional artificial grid-counting method is proved to have the shortcomings of big workload, time consumption and unstable statistical errors. In contrast, the image binaryzation method can greatly improve the efficiency and accuracy of the statistical work, however, this method couldn’t avoid some statistical errors, resulting in low values generated from the cover of some obstacles, such as soft mud and gravels, on the surface of polymetallic nodules. The optimized algorithm can extract the threshold automatically and fill the covered areas. The shortcomings of the other two methods are thus compensated, achieving satisfying efficiency and accuracy.
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