Classification of Fruits Using Computer Vision and a Multiclass Support Vector Machine

Classification of Fruits Using Computer Vision and a Multiclass Support Vector Machine

Automatic classification of fruits via computer vision is still a complicated task due to the various properties of numerous types of fruits. We propose a novel classification method based on a multi-class kernel support vector machine (kSVM) with the desirable goal of accurate and fast classificati...

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Bibliographic Details
Main Authors: Yudong Zhang, Lenan Wu
Format: Article
Language:English
Published: MDPI AG 2012-09-01
Series:Sensors
Subjects:
fruit classification
principal component analysis
color histogram
Unser’s texture analysis
mathematical morphology
shape feature
multi-class SVM
kernel SVM
stratified cross validation
Online Access:http://www.mdpi.com/1424-8220/12/9/12489

Internet

http://www.mdpi.com/1424-8220/12/9/12489

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