Reference : A Real-Time Grading Method Of Apples Based On Features Extracted From Defects
Scientific journals : Article
Engineering, computing & technology : Multidisciplinary, general & others
Life sciences : Agriculture & agronomy
http://hdl.handle.net/2268/24906
A Real-Time Grading Method Of Apples Based On Features Extracted From Defects
English
Leemans, Vincent mailto [Université de Liège > > Gembloux Agro-Bio Tech >]
Destain, Marie-France mailto [Université de Liège > > Gembloux Agro-Bio Tech >]
2004
Journal of Food Engineering
61
1
Yes (verified by ORBi)
International
0260-8774
[en] Grading ; classification ; machine vision ; apples
[en] This paper presents a hierarchical grading method applied to Jonagold apples. Several images covering the whole surface of the fruits were acquired thanks to a prototype grading machine. These images were then segmented and the features of the defects were extracted. During a learning procedure, the objects were classified into clusters by k-mean clustering. The classification probabilities of the objects were summarised and on this basis the fruits were graded using quadratic discriminant analysis. The fruits were correctly graded with a rate of 73 %. The errors were found having origins in the segmentation of the defects or for a particular wound, in a confusion with the calyx end.
IRSIA
project D ½ - 5819A section 1
Researchers
http://hdl.handle.net/2268/24906
10.1016/S0260-8774(03)00189-4
http://www.elsevier.com/wps/find/journaldescription.cws_home/405862/description#description

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