A computer vision system for visual grape grading in wine cellars

doi:10.1007/978-3-642-04667-4_34

A computer vision system for visual grape grading in wine cellars

Vázquez Fernández, Esteban; Dacal Nieto, Ángel; Martín Rodríguez, Fernando; Formella, Arno; Torres Guijarro, Maria Soledad; González Jorge, Higinio

DATE : 2009

UNIVERSAL IDENTIFIER : http://hdl.handle.net/11093/1821

EDITED VERSION: http://link.springer.com/10.1007/978-3-642-04667-4_34

UNESCO SUBJECT : 1206.01 Construcción de Algoritmos ; 2209.90 Tratamiento Digital. Imágenes ; 3309.29 Vino

DOCUMENT TYPE : conferenceObject

ABSTRACT :

This communication describes a computer vision system for automatic visual inspection and classification of grapes in cooperative wine cellars. The system is intended to work outdoors, so robust algorithms for preprocessing and segmentation are implemented. Specific methods for illumination compensation have been developed. Gabor filtering has been used for segmentation. Several preliminary classification schemes, using artificial neural networks and Random Forest, have also been tested. The obtained results show the benefits of the system as a useful tool for classification and for objective price fixing.

Show full item record