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Artificial neural network-based segmentation and apple grading by machine vision

11 years 4 months ago
Artificial neural network-based segmentation and apple grading by machine vision
In this paper, a computer vision based system is introduced to automatically sort apple fruits. An artificial neural network segments the defected regions on fruit by pixel-wise processing. Statistical features are extracted from the defected regions and then fruit is graded by a supervised classifier. Linear discriminant, nearest neighbor, fuzzy nearest neighbor, adaboost and support vector machines classifiers are tested for fruit grading, where the last two are found to perform best with 90 % recognition.
Devrim Unay, Bernard Gosselin
Added 23 Oct 2009
Updated 14 Nov 2009
Type Conference
Year 2005
Where ICIP
Authors Devrim Unay, Bernard Gosselin
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