Arecanut Classification: - A Computer Vision Approach - Softcover

Suresha, M.; Danti, Ajit

 
9783330062740: Arecanut Classification: - A Computer Vision Approach
Softcover
ISBN 10: 3330062746 ISBN 13: 9783330062740
Publisher: LAP LAMBERT Academic Publishing, 2017

Synopsis

The arecanut palm bearing the scientific name Areca Catechu Linn and included in the tribe Arecae of the family palmae. The palm owes its rating of importance to the fruits known as the arecanut, which forms the principal chewing material in India and in the far eastern countries. Arecanut is almost symbolic of the great culture of some of the oriented nations especially Indians and Indonesians. Color and texture of arecanut are the most important parameters that allows for the evaluation of their degree of quality, and existence of faults and also color along with its level of homogeneity influences the degree of acceptance of consumers, as well as the pricing.Human has a prominent role in classification of arecanut.This leads to time consuming, expensive for labour and inconsistency in classification. Computer vision based technology is required to address the above problem. Color features are the dominant features for classification of arecanut with husk. Texture features are dominant features in classification of arecanut without husk.

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About the Author

Dr. Suresha M received the Master of Computer Applications degree and Ph. D in Computer Science from the Kuvempu University, India in 2003 and 2014 respectively. His research is focused on Image processing and Pattern Recognition. He has 14 years of experience in various capacities such as Teaching, Industry, Administration and Research.

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Publisher
LAP LAMBERT Academic Publishing
Publication date
2017
Language
English
ISBN 10 
3330062746
ISBN 13 
9783330062740
Binding
Paperback
Number of pages
140