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15th International Conference on Pattern Recognition (ICPR'00) - Volume 1
Assessment of Citrus Fruit Quality Using a Real-Time Machine Vision System
Barcelona, Spain
September 03-September 08
ISBN: 0-7695-0750-6
ASCII Text
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N. Aleixos, J. Blasco, E. Moltó, F. Navarrón, "Assessment of Citrus Fruit Quality Using a Real-Time Machine Vision System," Pattern Recognition, International Conference on, vol. 1, pp. 1482, 15th International Conference on Pattern Recognition (ICPR'00) - Volume 1, 2000.
 
 
BibTex
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@article{ 10.1109/ICPR.2000.905381,
author = {N. Aleixos and J. Blasco and E. Moltó and F. Navarrón},
title = {Assessment of Citrus Fruit Quality Using a Real-Time Machine Vision System},
journal ={Pattern Recognition, International Conference on},
volume = {1},
year = {2000},
isbn = {0-7695-0750-6},
pages = {1482},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2000.905381},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Pattern Recognition, International Conference on
TI - Assessment of Citrus Fruit Quality Using a Real-Time Machine Vision System
SN - 0-7695-0750-6
SP
EP
A1 - N. Aleixos,
A1 - J. Blasco,
A1 - E. Moltó,
A1 - F. Navarrón,
PY - 2000
KW - machine vision
KW - real-time
KW - inspection
KW - fruit quality
VL - 1
JA - Pattern Recognition, International Conference on
ER -
 
N. Aleixos, Universidad Jaume I
J. Blasco, IVIA
E. Moltó, IVIA
F. Navarrón, Food Machinery Espa?ola, S.A
About 5.000.000 Tm/year of citrus are harvested and packaged in Spain. These have to be correctly classified depending on its external quality. Current commercial sorters based on machine vision cannot solve problems like defect detection or correct color classification due to the low image resolution, which is necessary to achieve adequate production speed. This paper describes a new machine vision system to classify different species of citrus in real time, attending to external quality features of the fruits as size, color and external defects. A specific hardware has been developed to run the algorithms in parallel, which makes possible work at speed of 10 fruits/s, with an adequate image resolution.
Index Terms:
machine vision, real-time, inspection, fruit quality
Citation:
N. Aleixos, J. Blasco, E. Moltó, F. Navarrón, "Assessment of Citrus Fruit Quality Using a Real-Time Machine Vision System," icpr, vol. 1, pp.1482, 15th International Conference on Pattern Recognition (ICPR'00) - Volume 1, 2000
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