An automatic image-based system for estimating the mass of free-swimming fish

Computers and Electronics in Agriculture

Volumn 31, Issue 2, 2001, Pages 151-168

  Lines, J A ^a   Tillett, R D ^a   Ross, L G ^b   Chan, D ^a,b   Hockaday, S ^b   McFarlane, N J B ^a  

^a SILSOE RESEARCH INSTITUTE   (United Kingdom)

^b UNIVERSITY OF STIRLING   (United Kingdom)

Author keywords

Aquaculture; Biomass; Image analysis; Stereo vision

Indexed keywords

FISH; IMAGE ANALYSIS; MEASUREMENT METHOD; SALMONID; SWIMMING;

EID: 0035104612     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0168-1699(00)00181-2     Document Type: Article

References (14)

1. Predicting biomass of Atlantic salmon from morphometric lateral measurements
2. Predicting salmon biomass remotely using a digital technique
3. A trainable n-tuple pattern classifier and its application for monitoring fish underwater
4. Automatic initiation of a model fitting algorithm by using an n-tuple classifier for monitoring fish underwater
5. Image processing for underwater measurement of salmon biomass
6. A comparison of models built to estimate the mass of different strains of Atlantic salmon, Salmo salar L, using morphometric techniques
7. Using stereo image pairs to measure mass in strains of Atlantic salmon (Salmo salar L)
8. Multivariate discrimination by shape in relation to size
9. Fitting 3D point distribution models of fish to stereo images
10. Determining fish size and swimming speed in cages and tanks using simple video techniques
11. Remote weighing of fish: Myth and reality
12. Estimating dimensions of free-swimming fish using 3D point distribution models
13. An efficient and accurate camera calibration technique for 3D vision