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Apple Shape Inspection with Computer Vision
Leemans, Vincent; Magein, Hugo; Destain, Marie-France
1997In Sensors for Nondestructive Testing - Measuring the Quality of Fresh Fruits and Vegetables
Peer reviewed
 

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Keywords :
Apple; shape grading; machine vision; Fourier descriptor; moments
Abstract :
[en] Two shape separation methods were compared for shape grading of 'Golden Delicious' apples using machine vision. The first one was based on moments and other geometric parameters while the second implied the computation of Fourier descriptors.Both methods required that one stem view and six cheek views of the fruit were presented to the camera. The Fourier descriptors were found the most efficient method since they allowed an accuracy in classification reaching 96% and can be made invariant to translation, rotation and scale. Furthermore, they are obtained from boundary information and do not need to examine the whole area of the apple. They permit the reconstruction of the apple shape from the harmonics.
Disciplines :
Agriculture & agronomy
Electrical & electronics engineering
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 :
Apple Shape Inspection with Computer Vision
Alternative titles :
[fr] Evaluation de la forme des pommes par analyse d'images numériques
Publication date :
February 1997
Event name :
Sensors for Nondestructive Testing International Conference
Event organizer :
Northeast Regional Agricultural Engineering Service Cooperative Extension
Event place :
Orlando, Florida, United States - Florida
Event date :
du 18 février 1997 au 21 février 1997
Audience :
International
Main work title :
Sensors for Nondestructive Testing - Measuring the Quality of Fresh Fruits and Vegetables
Peer reviewed :
Peer reviewed
Funders :
Institut pour la Recherche Scientifique en Industrie et en Agriculture
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since 30 November 2009

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