Fish species recognition using computer vision and a neural network
Storbeck, F.; Daan, B. (2001). Fish species recognition using computer vision and a neural network. Fish. Res. 51: 11-15
In: Fisheries Research. Elsevier: Amsterdam. ISSN 0165-7836; e-ISSN 1872-6763, more
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| Keywords |
Computer vision
Computer vision
Pattern recognition
Process control
Process control
Techniques > Imagery > Computer techniques > Computer vision
Marine/Coastal |
| Abstract |
A system is described to recognize fish species by computer vision and a neural network program. The vision system measures a number of features of fish as seen by a camera perpendicular to a conveyor belt. The features used here are the widths and heights at various locations along the fish. First the measured values are used as input values to a neural network, together with the information on the species. The network is trained to recognize the species from these input data. To decrease the time to train the network, a learning rate, a momentum factor and the elimination of non-contributing connections and nodes were introduced. Testing of the network showed that more than 95% of the fish could be classified correctly. |
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