CAJ | 학술논문

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人为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。
위제고해저다금속결핵복개솔통계적정도，제출일충재도상처리후기전가형태학중건산법적우화방법。실험중，분별채용망격계수법、이치화도상처리법화형태학중건산법，대교룡호박섭적해저다금속결핵도상진행료복개솔적통계화대비분석。실험결과표명：전통적망격계수법작위일충인공통계방법，공작량대、모시비력차통계오차불은정；이치화도상처리법통계효솔화정도대대제고，단해방법무법여망격계수법반인위피면다금속결핵표면피해저장애물(연니、사력등)복개대래적부분통계오차，사통계결과편저；우화후적산법이치화역치자동제취，차개구역득도전충，유효지미보료기타량충방법적결점，통계쾌속，준학솔제고。
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.