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Arecanut Classification: - A Computer Vision Approach - M. Suresha,Ajit Danti

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2017-03-23
52,66 € 87,77 €

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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 t ... Täielik kirjeldus

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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.

Lisateave

Autor M. Suresha, Ajit Danti
Kirjastaja LAP LAMBERT Academic Publishing
Väljalaskeaasta 2017
Kaanetüüp Pehme kaanega
EAN 9783330062740
Kirjuta oma arvustus
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52,66 € 87,77 €