Discrimination of Norwegian farmed, ranched and wild‐origin Atlantic salmon, Salmo salar L., by image processing
Abstract A method of distinguishing between farmed, ranched and wild‐origin Atlantic salmon, Salmo salar L., using scale morphology is proposed. Circuli spacing and scale texture data, as expressed as a Fourier transform of transmission luminescent patterns. were extracted by image processing. Spaci...
| Published in: | Fisheries Management and Ecology |
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| Main Authors: | , , , |
| Format: | Article in Journal/Newspaper |
| Language: | English |
| Published: |
Wiley
1994
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| Subjects: | |
| Online Access: | http://dx.doi.org/10.1111/j.1365-2400.1970.tb00011.x https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Fj.1365-2400.1970.tb00011.x https://onlinelibrary.wiley.com/doi/pdf/10.1111/j.1365-2400.1970.tb00011.x |
| Summary: | Abstract A method of distinguishing between farmed, ranched and wild‐origin Atlantic salmon, Salmo salar L., using scale morphology is proposed. Circuli spacing and scale texture data, as expressed as a Fourier transform of transmission luminescent patterns. were extracted by image processing. Spacing patterns and texture features were most distinct for wild salmon compared with the other two groups. Three‐group quadratic discriminant function models were developed using different combinations of data types. The most efficient model to separate the three groups had a classification efficiency of 74%. When models were simplified to two groups, farmed and wild, efficiency increased to 90%, thus reflecting the feature overlap between farmed and ranched groups. The method may be a useful tool for more objective and efficient classification of wild versus husbandry‐origin salmon. However, it should be stressed that farmed salmon that escape at the smolt stage are still problematic. |
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