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

Atencio, Pedro and Sánchez T, Germán and Branch, John William (2010) Automatic visual model for classification and measurement of quality of fruit: case mangifera indica l. Dyna; Vol. 76, núm. 160 (2009); 305-315 DYNA; Vol. 76, núm. 160 (2009); 305-315 2346-2183 0012-7353 .

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URL oficial: http://revistas.unal.edu.co/index.php/dyna/article...

Resumen

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.

Tipo de documento:Artículo - Article
Información adicional:Derechos de autor reservados
Palabras clave:Digital image processing, volume and color estimation, mango fruit.
Unidad administrativa:Revistas electrónicas UN > Dyna
Código ID:17962
Enviado por : Dirección Nacional de Bibliotecas STECNICO
Enviado el día :25 Junio 2014 13:22
Ultima modificación:19 Agosto 2014 03:42
Ultima modificación:19 Agosto 2014 03:42
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