An efficient protocol and data set for automated otolith image analysis

被引:4
|
作者
Myers, Savannah Carolyn [1 ]
Thorsen, Anders [1 ]
Smolinski, Szymon [1 ]
Godiksen, Jane Aanestad [1 ]
Malde, Ketil [1 ,2 ]
Handegard, Nils Olav [1 ]
机构
[1] Inst Marine Res, Bergen, Norway
[2] Univ Bergen, Dept Informat, Bergen, Norway
来源
GEOSCIENCE DATA JOURNAL | 2020年 / 7卷 / 01期
关键词
big data; deep learning; fish ageing; Gadus morhua; north-east arctic cod; Otolith; AGE-DETERMINATION; WEIGHT; PRECISION;
D O I
10.1002/gdj3.86
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Information on fish age constitutes one of the most important biological variables for a fish stock, and an accurate estimation of the age structure of the fish populations is essential for the reliable management of these natural resources. The age of individual cod (Gadus morhua) is determined by manually examining the layered structure of otoliths, a calcium carbonate structure of the inner ear. Image-based methods to age otoliths have been investigated for over 4 decades with varying results, but recent developments in automatic image analysis techniques are promising. The objective of this paper is to describe a method to efficiently image a manually broken otolith (avoiding the time-consuming embedding and cross-sectioning process) and to describe the organization and acquisition of imaged broken otolith images with associated metadata for a collection of north-east Arctic cod otoliths. A single-lens reflex camera was used for capturing photographs of the broken otoliths. A total of six images were acquired for each subject, consisting of three images in the first position with three different light exposures and three images in the second position with three different light exposures. This results in a simple and efficient procedure for capturing clear, satisfactory, and reproducible images of broken fish otoliths, and a more straightforward and less labour-intensive alternative to the commonly used methods that involve embedding and cross-sectioning of the otolith.
引用
收藏
页码:80 / 88
页数:9
相关论文
共 50 条
  • [31] Automated Transient Detection with Shapelet Analysis in Image-subtracted Data
    Ackley, Kendall
    Eikenberry, Stephen S.
    Yildirim, Ceren
    Klimenko, Sergey
    Garner, Alan
    ASTRONOMICAL JOURNAL, 2019, 158 (05):
  • [32] DNA accessibility of chromatosomes quantified by automated image analysis of AFM data
    Wuertz, Martin
    Aumiller, Dennis
    Gundelwein, Lina
    Jung, Philipp
    Schuetz, Christian
    Lehmann, Kathrin
    Toth, Katalin
    Rohr, Karl
    SCIENTIFIC REPORTS, 2019, 9 (1)
  • [33] Efficient distributed mesh data structure for parallel automated adaptive analysis
    E. Seegyoung Seol
    Mark S. Shephard
    Engineering with Computers, 2006, 22 : 197 - 213
  • [34] Spotlight: efficient automated global optimization in rietveld analysis of diffraction data
    Biwer, C. M.
    Feng, Z.
    Finstad, D.
    Mcdonnell, M.
    Knezevic, M.
    Mckerns, M.
    Savage, D. J.
    Vogel, S. C.
    SCIENTIFIC REPORTS, 2025, 15 (01):
  • [35] Efficient distributed mesh data structure for parallel automated adaptive analysis
    Seol, E. Seegyoung
    Shephard, Mark S.
    ENGINEERING WITH COMPUTERS, 2006, 22 (3-4) : 197 - 213
  • [36] Level set issues for efficient image segmentation
    Sandeep, V. M.
    Kulkarni, Subhash
    Kohir, Vinayadatt
    INTERNATIONAL JOURNAL OF IMAGE AND DATA FUSION, 2011, 2 (01) : 75 - 92
  • [37] Efficient Quantum Protocol for Private Set Intersection Cardinality
    Shi, Run-Hua
    IEEE ACCESS, 2018, 6 : 73102 - 73109
  • [38] An efficient data mining technique with applications in multivariate image analysis
    Laskaris, N
    Fotopoulos, S
    DSP 97: 1997 13TH INTERNATIONAL CONFERENCE ON DIGITAL SIGNAL PROCESSING PROCEEDINGS, VOLS 1 AND 2: SPECIAL SESSIONS, 1997, : 1103 - 1106
  • [39] Study on the Efficient Use of Satellite Image Data Analysis System
    Mori, Hayao
    Tsukamoto, Seiji
    Yamaguchi, Takashi
    Hanada, Masaki
    Park, Jong Geol
    Nunohiro, Eiji
    PROCEEDINGS OF THE EIGHTEENTH INTERNATIONAL SYMPOSIUM ON ARTIFICIAL LIFE AND ROBOTICS (AROB 18TH '13), 2013, : 197 - 201
  • [40] AN EFFICIENT IMAGE WATERMARKING PROTOCOL BASED ON COMPOSITE IMAGE REPUDIATION
    Dhanalakshmi, R.
    Muthukumar, B.
    2017 THIRD INTERNATIONAL CONFERENCE ON SCIENCE TECHNOLOGY ENGINEERING & MANAGEMENT (ICONSTEM), 2017, : 419 - 422