Classification of lamb carcass using machine vision : Comparison of statistical and neural network analyses
- Author
- CHANDRARATNE, M. R1 ; KULASIRI, D2 ; SAMARASINGHE, S2
[1] Department of Chemical and Process Engineering, Faculty of Engineering, University of Peradeniya, Peradeniya, Sri Lanka
[2] Centre for Advanced Computational Solutions (C-fACS), Lincoln University, Canterbury, New Zealand - Source
Journal of food engineering. 2007, Vol 82, Num 1, pp 26-34, 9 p ; ref : 3/4 p
- CODEN
- JFOEDH
- ISSN
- 0260-8774
- Scientific domain
- Food science technology
- Publisher
- Elsevier, Oxford
- Publication country
- United Kingdom
- Document type
- Article
- Language
- English
- Author keyword
- Artificial neural networks Co-occurrence matrix Computer vision Grey-level difference histogram Image analysis Lamb grading Machine vision Meat quality Run length matrix Texture features
- Keyword (fr)
- Agneau Analyse image Carcasse Classification Longueur Qualité Réseau neuronal Surveillance Texture Viande Vision ordinateur Animal à viande Animal élevage Artiodactyla Mammalia Mouton Produit carné Ungulata Vertebrata
- Keyword (en)
- Lamb Image analysis Carcass Classification Length Quality Neural network Surveillance Texture Meat Computer vision Meat animals Farming animal Artiodactyla Mammalia Sheep Meat product Ungulata Vertebrata
- Keyword (es)
- Cordero Análisis imagen Canal Clasificación Longitud Calidad Red neuronal Vigilancia Textura Carne Visión ordenador Animales de carne Animal cría Artiodactyla Mammalia Carnero Producto de carne Ungulata Vertebrata
- Classification
- Pascal
- 002 Biological and medical sciences / 002A Fundamental and applied biological sciences. Psychology / 002A35 Food industries / 002A35A General aspects / 002A35A03 Food engineering
- Pascal
- 002 Biological and medical sciences / 002A Fundamental and applied biological sciences. Psychology / 002A35 Food industries / 002A35B Food industries / 002A35B05 Meat and meat product industries
- Discipline
- Agrifood industries
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 18665894
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1016/j.jfoodeng.2007.01.003 
https://dx.doi.org/10.1016/j.jfoodeng.2007.01.003
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