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International Workshop on Frontiers of Computer Vision

IW-FCV 2021: Frontiers of Computer Vision pp 93–105Cite as

Development of an Algae Counting Application to Support Vegetation Surveys in Fishing Grounds

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1405))

Abstract

In the kelp and sea urchin fisheries, fishery surveys are required to select kelp and juvenile sea urchin release sites. In the fishery survey, underwater images obtained from cameras installed in the water are mainly used. Underwater images are used to read algae information and create an algae distribution map, which makes it possible to understand the fishing grounds. This process is expected to simplify the fishery survey and promote the conservation and utilization of fishing grounds. In this paper, we develop an Algae counting application that derives and records algae cover from underwater images using user instructions to simplify the fishing grounds survey process.

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Reference

  1. Guidelines for measures to prevent the disappearance of seaweed bed resources, Fisheries Agency (2009, March)

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Author information

Authors and Affiliations

  1. Kumamoto University, 2-39-1 Kurokami, Chuo-ku, Kumamoto-shi, 860-8555, Kumamoto, Japan

    Junsei Idegomori

  2. Center for Management of Information Technologies, Kumamoto University, Kurokami 2-39-1, Kumamoto City, 860-8555, Kumamoto, Japan

    Masahiro Migita & Masashi Toda

  3. Local Independent Administrative Agency Hokkaido Research Organization (HRO), Kita 19 Nishi 11, Kita-ku, Sapporo, 060-0819, Hokkaido, Japan

    Hideki Akino

Authors
  1. Junsei Idegomori
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  2. Masahiro Migita
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  3. Masashi Toda
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  4. Hideki Akino
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Corresponding author

Correspondence to Junsei Idegomori .

Editor information

Editors and Affiliations

  1. Chonnam National University, Gwangju, Korea (Republic of)

    Hieyong Jeong

  2. Aoyama Gakuin University, Kanagawa, Japan

    Kazuhiko Sumi

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Cite this paper

Idegomori, J., Migita, M., Toda, M., Akino, H. (2021). Development of an Algae Counting Application to Support Vegetation Surveys in Fishing Grounds. In: Jeong, H., Sumi, K. (eds) Frontiers of Computer Vision. IW-FCV 2021. Communications in Computer and Information Science, vol 1405. Springer, Cham. https://doi.org/10.1007/978-3-030-81638-4_8

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  • DOI: https://doi.org/10.1007/978-3-030-81638-4_8

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-81637-7

  • Online ISBN: 978-3-030-81638-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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