Automated measurement of species and length of fish by computer vision

D. J. White*, C. Svellingen, N. J.C. Strachan

*Corresponding author for this work

Research output: Contribution to journalArticle

130 Citations (Scopus)

Abstract

Trials of a computer vision machine (The CatchMeter) for identifying and measuring different species of fish are described. The fish are transported along a conveyor underneath a digital camera. Image processing algorithms: determine the orientation of the fish utilising a moment-invariant method, identify whether the fish is a flatfish or roundfish with 100% accuracy, measure the length with a standard deviation of 1.2 mm and species with up to 99.8% sorting reliability for seven species of fish. The potential application of the system onboard both research and commercial ships is described. The machine can theoretically process up to 30,000 fish/h using a single conveyor based system.

Original languageEnglish
Pages (from-to)203-210
Number of pages8
JournalFisheries Research
Volume80
Issue number2-3
DOIs
Publication statusPublished - Sep 2006

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Keywords

  • Computer vision
  • Fish
  • Fish species
  • Image processing
  • Sorting

ASJC Scopus subject areas

  • Aquatic Science

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