Paper Info
Title
Video-based real time analysis of plankton particle size spectrum
Abstract
Plankton is one of the most basic components in the marine ecosystem. The community structure and population change of plankton are the important ecological information to reflect the environmental situation. As the fundamental parameter of the plankton community structure, size spectrum is very useful for the evaluation of the marine ecosystem. In this paper, we propose a real-time and adaptive algorithm to calculate the size spectrum of underwater plankton video, which is captured by the high-resolution and high-speed optical camera. First, this algorithm screens the high-resolution plankton images to ensure that every plankton is counted once with the clearest frame. Second, edge detection and morphological methods are performed to get plankton areas. Furthermore, we perform several simplifications that each particle is handled as ellipses shape to calculate the volume to obtain the size spectrum. Moreover, in order to facilitate the biologists to research plankton deeply, we record a region of the clear area containing each plankton to build a plankton database.
Year
DOI
Venue
2019
10.1109/ACCESS.2019.2914727
IEEE ACCESS
Keywords
Field
DocType
Underwater vision,clarity index,screening,segmentation,ROI,particle size spectrum
Plankton,Computer science,Real time analysis,Real-time computing,Particle size,Distributed computing
Journal
Volume
ISSN
Citations 
7
2169-3536
0
PageRank 
References 
Authors
0.34
0
9
Name
Order
Citations
PageRank
Jia Yu147557.62
Xuewen Yang200.34
Nan Wang39327.47
Gavin Tilstone400.34
Elaine Fileman500.34
Haiyong Zheng6208.12
Zhibin Yu7409.99
Min Fu800.34
Bing Zheng97523.58