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Texture Features and Decision Trees based Vegetables Classification

Suresh, M and Sandeep Kumar, K S and Shiva Kumar, G (2012) Texture Features and Decision Trees based Vegetables Classification. International Journal of Computer Applications. pp. 21-26. ISSN 0975-8878

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Abstract

The proposed work deals with an approach to perform texture extraction of vegetables images for classification. The work has been carried out using watershed for segmentation. The vegetables textures features like red component, green component, skewness, kurtosis, variance, and energy are extracted. The method has been employed to normalize vegetable images and hence eliminating the effects of orientation using image resize technique with proper scaling. Finally, Decision Tree classifier is applied to the above features which return the results of the classification.

Item Type: Article
Uncontrolled Keywords: Decision Tree Classifier, Texture Features, Vegetables Classification.
Subjects: 000 Computer Science, Information and General work > 004 Computer Science
Divisions: Department of Computer Science
Depositing User: Unnamed user with email bs@kuvempu.ac.in
Date Deposited: 23 Aug 2017 14:00
Last Modified: 23 Aug 2017 14:12
URI: http://kuls-ir.kuvempu.ac.in/id/eprint/1720

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