A Computer Vision System for Visual Grape Grading in Wine Cellars

Authors:
Esteban Vazquez-Fernandez;Angel Dacal-Nieto;Fernando Martin;Arno Formella;Soledad Torres-Guijarro;Higinio Gonzalez-Jorge
Affiliations:
Laboratorio Oficial de Metroloxía de Galicia (LOMG), Parque Tecnolóxico de Galicia, Ourense, Spain 32901;Laboratorio Oficial de Metroloxía de Galicia (LOMG), Parque Tecnolóxico de Galicia, Ourense, Spain 32901;Communications and Signal Theory Department, University of Vigo, Spain;Computer Science Department, University of Vigo, Spain;Laboratorio Oficial de Metroloxía de Galicia (LOMG), Parque Tecnolóxico de Galicia, Ourense, Spain 32901;Laboratorio Oficial de Metroloxía de Galicia (LOMG), Parque Tecnolóxico de Galicia, Ourense, Spain 32901
Venue:
ICVS '09 Proceedings of the 7th International Conference on Computer Vision Systems: Computer Vision Systems
Year:
2009

Citing 5
Cited 0

Learning Texture Discrimination Masks

IEEE Transactions on Pattern Analysis and Machine Intelligence
A Flexible New Technique for Camera Calibration

IEEE Transactions on Pattern Analysis and Machine Intelligence
Random Forests

Machine Learning
Handbook of Machine Vision

Handbook of Machine Vision
The Image Processing Handbook, Fifth Edition (Image Processing Handbook)

The Image Processing Handbook, Fifth Edition (Image Processing Handbook)

Quantified Score

Hi-index	0.00

Visualization

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.