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Feature Extraction and Classification Algorithm for Rubber Tree Leaf
Published by
LAP LAMBERT Academic Publishing Feb 2018, 2018
ISBN 10: 6137382095
ISBN 13: 9786137382097
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Rubber is one of the major sources of national income in Malaysia. Malaysian Rubber Board (MRB) is responsible for monitoring the quality of rubber to maintain a successful breeding program. One of the important factors that affect the quality of raw rubber is the clonal origin of the tree. In current practice, clone inspectors verify the clone type manually using leaf features. An automated clone classification system is needed to facilitate the inspection process. There are several features of rubber tree leaf to differentiate clone types including leaf tip, leaf base, the form of the leaf, and leaf margin. This book provides an in-depth look at these features and it explores several feature extraction methods to analyze the effectiveness of these methods. 120 pp. Englisch. Seller Inventory # 9786137382097
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Feature Extraction and Classification Algorithm for Rubber Tree Leaf
ISBN 10: 6137382095
ISBN 13: 9786137382097
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Seller: Books Puddle, New York, NY, U.S.A.
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Feature Extraction and Classification Algorithm for Rubber Tree Leaf
ISBN 10: 6137382095
ISBN 13: 9786137382097
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Seller: Majestic Books, Hounslow, United Kingdom
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Condition: New. Print on Demand. Seller Inventory # 401681492
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Feature Extraction and Classification Algorithm for Rubber Tree Leaf
Published by
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6137382095
ISBN 13: 9786137382097
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Softcover
Seller: moluna, Greven, Germany
Seller rating 5 out of 5 stars
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Anjomshoae Sule T.Sule Anjomshoae received her M.Sc. degree in Computer Science from University Technology Malaysia (2014). Her research interest includes image analysis and image processing.Mohd Shafry Bin Mohd Rahim is a senior lec. Seller Inventory # 385845738
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Feature Extraction and Classification Algorithm for Rubber Tree Leaf
ISBN 10: 6137382095
ISBN 13: 9786137382097
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Seller: Biblios, Frankfurt am main, HESSE, Germany
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Condition: New. PRINT ON DEMAND. Seller Inventory # 18394695553
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Feature Extraction and Classification Algorithm for Rubber Tree Leaf
Published by
LAP LAMBERT Academic Publishing Feb 2018, 2018
ISBN 10: 6137382095
ISBN 13: 9786137382097
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Rubber is one of the major sources of national income in Malaysia. Malaysian Rubber Board (MRB) is responsible for monitoring the quality of rubber to maintain a successful breeding program. One of the important factors that affect the quality of raw rubber is the clonal origin of the tree. In current practice, clone inspectors verify the clone type manually using leaf features. An automated clone classification system is needed to facilitate the inspection process. There are several features of rubber tree leaf to differentiate clone types including leaf tip, leaf base, the form of the leaf, and leaf margin. This book provides an in-depth look at these features and it explores several feature extraction methods to analyze the effectiveness of these methods.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 120 pp. Englisch. Seller Inventory # 9786137382097
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Feature Extraction and Classification Algorithm for Rubber Tree Leaf
Published by
LAP LAMBERT Academic Publishing
ISBN 10: 6137382095
ISBN 13: 9786137382097
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Rubber is one of the major sources of national income in Malaysia. Malaysian Rubber Board (MRB) is responsible for monitoring the quality of rubber to maintain a successful breeding program. One of the important factors that affect the quality of raw rubber is the clonal origin of the tree. In current practice, clone inspectors verify the clone type manually using leaf features. An automated clone classification system is needed to facilitate the inspection process. There are several features of rubber tree leaf to differentiate clone types including leaf tip, leaf base, the form of the leaf, and leaf margin. This book provides an in-depth look at these features and it explores several feature extraction methods to analyze the effectiveness of these methods. Seller Inventory # 9786137382097
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Feature Extraction and Classification Algorithm for Rubber Tree Leaf
Published by
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6137382095
ISBN 13: 9786137382097
New
Taschenbuch
Seller: preigu, Osnabrück, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Feature Extraction and Classification Algorithm for Rubber Tree Leaf | Sule T. Anjomshoae (u. a.) | Taschenbuch | 120 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786137382097 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Seller Inventory # 112862097
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