Sinossi
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.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Informazioni sull?autore
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.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
Risultati della ricerca per Arecanut Classification: - A Computer Vision Approach
Immagini fornite dal venditore
Arecanut Classification
Editore:
LAP LAMBERT Academic Publishing Mrz 2017, 2017
ISBN 10: 3330062746
ISBN 13: 9783330062740
Nuovo
Taschenbuch
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 140 pp. Englisch. Codice articolo 9783330062740
Compra nuovo
EUR 55,90
Spedizione EUR 23,00
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 2 disponibili
Foto dell'editore
Arecanut Classification: - A Computer Vision Approach
Editore:
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330062746
ISBN 13: 9783330062740
Nuovo
Brossura
Da: Books Puddle, New York, NY, U.S.A.
Valutazione del venditore 4 su 5 stelle
Condizione: New. Codice articolo 26394685964
Compra nuovo
EUR 88,76
Spedizione EUR 3,48
Spedito in U.S.A.
Spedito in U.S.A.
Quantità: 4 disponibili
Immagini fornite dal venditore
Arecanut Classification
Editore:
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330062746
ISBN 13: 9783330062740
Nuovo
Brossura
Da: moluna, Greven, Germania
Valutazione del venditore 5 su 5 stelle
Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Suresha M.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 Recog. Codice articolo 151235611
Compra nuovo
EUR 46,18
Spedizione EUR 48,99
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: Più di 20 disponibili
Foto dell'editore
Arecanut Classification: - A Computer Vision Approach
Editore:
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330062746
ISBN 13: 9783330062740
Nuovo
Brossura
Da: Majestic Books, Hounslow, Regno Unito
Valutazione del venditore 4 su 5 stelle
Condizione: New. Codice articolo 401723859
Compra nuovo
EUR 88,67
Spedizione EUR 7,49
Spedito da Regno Unito a U.S.A.
Spedito da Regno Unito a U.S.A.
Quantità: 4 disponibili
Foto dell'editore
Arecanut Classification: - A Computer Vision Approach
Editore:
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330062746
ISBN 13: 9783330062740
Nuovo
Brossura
Da: Biblios, Frankfurt am main, HESSE, Germania
Valutazione del venditore 4 su 5 stelle
Condizione: New. Codice articolo 18394685958
Compra nuovo
EUR 89,10
Spedizione EUR 9,95
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 4 disponibili
Foto dell'editore
Arecanut Classification: - A Computer Vision Approach
Editore:
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330062746
ISBN 13: 9783330062740
Nuovo
Paperback
Da: Revaluation Books, Exeter, Regno Unito
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: Brand New. 140 pages. 8.66x5.91x0.32 inches. In Stock. Codice articolo 3330062746
Compra nuovo
EUR 90,96
Spedizione EUR 11,53
Spedito da Regno Unito a U.S.A.
Spedito da Regno Unito a U.S.A.
Quantità: 1 disponibili
Immagini fornite dal venditore
Arecanut Classification
Editore:
LAP LAMBERT Academic Publishing Mär 2017, 2017
ISBN 10: 3330062746
ISBN 13: 9783330062740
Nuovo
Taschenbuch
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 140 pp. Englisch. Codice articolo 9783330062740
Compra nuovo
EUR 55,90
Spedizione EUR 60,00
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 1 disponibili
Immagini fornite dal venditore
Arecanut Classification : A Computer Vision Approach
Editore:
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330062746
ISBN 13: 9783330062740
Nuovo
Taschenbuch
Da: AHA-BUCH GmbH, Einbeck, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Codice articolo 9783330062740
Compra nuovo
EUR 55,90
Spedizione EUR 61,14
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 1 disponibili
Immagini fornite dal venditore
Arecanut Classification | - A Computer Vision Approach
Editore:
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330062746
ISBN 13: 9783330062740
Nuovo
Taschenbuch
Da: preigu, Osnabrück, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. Arecanut Classification | - A Computer Vision Approach | M. Suresha (u. a.) | Taschenbuch | 140 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783330062740 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Codice articolo 108830651
Compra nuovo
EUR 48,60
Spedizione EUR 70,00
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 5 disponibili