Article (Scientific journals)
On-line fruit grading according to their external quality using machine vision
Leemans, Vincent; Magein, Hugo; Destain, Marie-France
2002In Biosystems Engineering, 83 (4), p. 397-404
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Keywords :
fruit; gradding; machine vision; sorting
Abstract :
[en] This paper presents apple grading into four classes according to European standards. Two varieties were tested: Golden Delicious and Jonagold. The image database included more than a 1000 images of fruits (528 Golden Delicious, 642 Jonagold) belonging to the three acceptable categories-Extra, I and II-and the reject (each class represents, respectively, about 60, 10 and 20% of the sample size). The image grading was achieved in six steps: image acquisition; ground colour classification; defect segmentation; calyx and stem recognition; defects characterisation and finally the fruit classification into quality classes. The proposed method for apple external quality grading showed correct classification rates of 78 and 72%, for Golden Delicious and Jonagold apples, respectively. Taking into account that the healthy fruit were far better graded and considering that this class was under represented in the sample compared with the fruit population, the results of the proposed method (an error rate which drops to 5 and 10%, respectively) are compatible with the requirements of European standards. (C) 2002 Silsoe Research Institute. Published by Elsevier Science Ltd. All rights reserved.
Disciplines :
Agriculture & agronomy
Author, co-author :
Leemans, Vincent ;  Université de Liège - ULiège > Gembloux Agro-Bio Tech > Gembloux Agro-Bio Tech
Magein, Hugo ;  Université de Liège - ULiège > Gembloux Agro-Bio Tech > Gembloux Agro-Bio Tech
Destain, Marie-France ;  Université de Liège - ULiège > Gembloux Agro-Bio Tech > Gembloux Agro-Bio Tech
Language :
English
Title :
On-line fruit grading according to their external quality using machine vision
Publication date :
2002
Journal title :
Biosystems Engineering
ISSN :
1537-5110
eISSN :
1537-5129
Publisher :
Academic Press
Volume :
83
Issue :
4
Pages :
397-404
Peer reviewed :
Peer Reviewed verified by ORBi
Name of the research project :
CAPA : Contrôle automatique des produits agricoles; N° 9813783
Funders :
DGTRE - Région wallonne. Direction générale des Technologies, de la Recherche et de l'Énergie [BE]
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