深海发光浮游动物数量和大小的统计方法

Yulong Zhou, Xi Zhang, Yuxing Wang, F. Zhao
{"title":"深海发光浮游动物数量和大小的统计方法","authors":"Yulong Zhou, Xi Zhang, Yuxing Wang, F. Zhao","doi":"10.1109/AEMCSE55572.2022.00110","DOIUrl":null,"url":null,"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.","PeriodicalId":309096,"journal":{"name":"2022 5th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)","volume":"220 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Statistical Method for the Number and Size of Luminescent Zooplankton in Deep Sea\",\"authors\":\"Yulong Zhou, Xi Zhang, Yuxing Wang, F. Zhao\",\"doi\":\"10.1109/AEMCSE55572.2022.00110\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":309096,\"journal\":{\"name\":\"2022 5th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)\",\"volume\":\"220 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 5th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AEMCSE55572.2022.00110\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 5th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AEMCSE55572.2022.00110","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Statistical Method for the Number and Size of Luminescent Zooplankton in Deep Sea
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信