Automatic visual model for classification and measurement of quality of fruit: case mangifera indica l

The physical properties of fruits in the agriculture industry constitute the main information in the quality determination for activities as exportation. This work presents a visual inspection based method for the classification of mango (Mangifera Indica L.). The classification process is made acco...

Full description

Autores:
Atencio, Pedro
Sánchez T, Germán
Branch, John William
Tipo de recurso:
Article of journal
Fecha de publicación:
2009
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/26914
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/26914
http://bdigital.unal.edu.co/17962/
Palabra clave:
Digital image processing
volume and color estimation
mango fruit.
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional
Description
Summary:The physical properties of fruits in the agriculture industry constitute the main information in the quality determination for activities as exportation. This work presents a visual inspection based method for the classification of mango (Mangifera Indica L.). The classification process is made according to the Norma Técnica Colombiana (Colombian Technical Norm) NTC 5139 standard, by means of automatic estimation of physical properties of fruits, such as height, width, volume, weight, caliber, and maturity level using the Principal Component Analysis and a fruit’s ellipsoidal 3-D model. Finally, the level of maturity is inferred through a similarity measure of the color distribution between the fruit and experimentally fixed models in the HSL space. The results showed that the method is computationally efficient, non invasive, precise and of low cost.