A Statistical Method for the Number and Size of Luminescent Zooplankton in Deep Sea

Yulong Zhou, Xi Zhang, Yuxing Wang, F. Zhao
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Abstract

As an important part of marine ecosystem, luminescent zooplankton is of great significance to the study of marine ecology and carbon cycle. The statistics of the number and size of luminous zooplankton is an important content of research. In recent years, the statistical methods of quantity and size based on visual image technology have attracted extensive attention. However, visual image technology has the problems of low accuracy, and can’t deal with sensor noise and too close biological distance. In order to solve the above problems, a statistical method for the number and size of luminescent zooplankton in deep-sea is proposed based on the shape characteristics of luminous zooplankton and multi feature matching rules. Through comparative experiments, the algorithm proposed in this paper has higher accuracy in quantity statistics and particle size calculation than other algorithms.
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深海发光浮游动物数量和大小的统计方法
发光浮游动物作为海洋生态系统的重要组成部分,对海洋生态和碳循环的研究具有重要意义。发光浮游动物的数量和大小统计是研究的重要内容。近年来,基于视觉图像技术的数量和尺寸统计方法受到了广泛的关注。然而,视觉图像技术存在精度低、不能处理传感器噪声和过近的生物距离等问题。为了解决上述问题,提出了一种基于发光浮游动物形状特征和多特征匹配规则的深海发光浮游动物数量和大小统计方法。通过对比实验,本文提出的算法在数量统计和粒度计算上都比其他算法具有更高的精度。
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