Intelligent classification models for food products basis on morphological, colour and texture features

The aim of this research is to build a supervised intelligent classification model of food products such as Biscuits, Cereals, Vegetables, Edible nuts and etc., using digital images. The Correlation-based Feature Selection (CFS) algorithm and 2nd derivative pre-treatments of the Morphologic...

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Bibliografische gegevens
Gepubliceerd in:Acta Agronómica
Hoofdauteurs: Narendra Veernagouda Ganganagowder, Priya Kamath
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Universidad Nacional de Colombia 2017
Onderwerpen:
Agrociencias
test
training
Algorithm
digital images
food classifiers
Online toegang:https://www.redalyc.org/articulo.oa?id=169952658006
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