Number of the records: 1  

Optimising the workflow for fish detection in DIDSON (Dual-frequency IDentification SONar) data with the use of optical flow and a genetic algorithm.

  1. 1.
    SYSNO0553296
    TitleOptimising the workflow for fish detection in DIDSON (Dual-frequency IDentification SONar) data with the use of optical flow and a genetic algorithm.
    Author(s) Perivolioti, T. M. (GR)
    Tušer, Michal (BC-A) RID, ORCID
    Terzopoulos, D. (GR)
    Sgardelis, S.P. (GR)
    Antoniou, I. (GR)
    Source Title Water. Roč. 13, č. 9 (2021). - : MDPI
    Article number1304
    Document TypeČlánek v odborném periodiku
    Institutional supportBC-A - RVO:60077344
    Languageeng
    CountryCH
    Keywords acoustic imaging * computer vision * hydroacoustics * fisheries research * image segmentation * image classification * foreground extraction
    URLhttps://doi.org/10.3390/w13091304
    Permanent Linkhttp://hdl.handle.net/11104/0328271
     
Number of the records: 1  

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