An Application of Fish Detection Based on Eye Search with Artificial Vision and Artificial Neural Networks
| Autor: | Marcos Gestal, Juan R. Rabuñal, Jerónimo Puertas, Angel J. Rico-Diaz, Omar A. Mures |
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| Rok vydání: | 2020 |
| Předmět: |
lcsh:Hydraulic engineering
genetic structures Computer science Fish farming Geography Planning and Development 02 engineering and technology fish-size Aquatic Science Stereovision Biochemistry GeneralLiterature_MISCELLANEOUS Hough transform law.invention Eye detection lcsh:Water supply for domestic and industrial purposes law Artificial vision Stereo image lcsh:TC1-978 Fish-size 0202 electrical engineering electronic engineering information engineering Computer vision Hough transformation Underwater stereovision Water Science and Technology ComputingMethodologies_COMPUTERGRAPHICS lcsh:TD201-500 Artificial neural network Artificial neural networks business.industry 04 agricultural and veterinary sciences computer-vision eye diseases Eye-detection eye-detection 040103 agronomy & agriculture 0401 agriculture forestry and fisheries Fish 020201 artificial intelligence & image processing Artificial intelligence business artificial neural networks Computer-vision |
| Zdroj: | RUC: Repositorio da Universidade da Coruña Universidade da Coruña (UDC) RUC. Repositorio da Universidade da Coruña instname Water, Vol 12, Iss 3013, p 3013 (2020) Water Volume 12 Issue 11 Universitat Oberta de Catalunya (UOC) |
| Popis: | A fish can be detected by means of artificial vision techniques, without human intervention or handling the fish. This work presents an application for detecting moving fish in water by artificial vision based on the detection of a fish&prime s eye in the image, using the Hough algorithm and a Feed-Forward network. In addition, this method of detection is combined with stereo image recording, creating a disparity map to estimate the size of the detected fish. The accuracy and precision of this approach has been tested in several assays with living fish. This technique is a non-invasive method working in real-time and it can be carried out with low cost. Furthermore, it could find application in aquariums, fish farm management and to count the number of fish which swim through a fishway. In a fish farm it is important to know how the size of the fish evolves in order to plan the feeding and when to be able to catch fish. Our methodology allows fish to be detected and their size and weight estimated as they move underwater, engaging in natural behavior. |
| Databáze: | OpenAIRE |
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