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Texture Features and Decision Trees based Vegetables Classification

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IJCA Proceedings on National Conferecne on Advanced Computing and Communications 2012
© 2012 by IJCA Journal
NCACC - Number 1
Year of Publication: 2012
Authors:
Suresha M
Sandeep Kumar K S
Shiva Kumar G

Suresha M, Sandeep Kumar K S and Shiva Kumar G. Article: Texture Features and Decision Trees based Vegetables Classification. IJCA Proceedings on National Conferecne on Advanced Computing and Communications 2012 NCACC(1):21-26, August 2012. Full text available. BibTeX

@article{key:article,
	author = {Suresha M and Sandeep Kumar K S and Shiva Kumar G},
	title = {Article: Texture Features and Decision Trees based Vegetables Classification},
	journal = {IJCA Proceedings on National Conferecne on Advanced Computing and Communications 2012},
	year = {2012},
	volume = {NCACC},
	number = {1},
	pages = {21-26},
	month = {August},
	note = {Full text available}
}

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.

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