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 language | English |
---|---|
Pages (from-to) | 203-210 |
Number of pages | 8 |
Journal | Fisheries Research |
Volume | 80 |
Issue number | 2-3 |
DOIs | |
Publication status | Published - Sep 2006 |
Keywords
- Computer vision
- Fish
- Fish species
- Image processing
- Sorting