{"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}
引用次数: 0
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.