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CBIR From Fruit Image Database and Recognition: CBIR from Fruit Image Database and Recognition - Softcover
Synopsis
A technique which uses visual contents of images to search images from large image database is known as Content Based Image Retrieval (CBIR).. This book provides the core concepts of CBIR along with some algorithms based on color, shape and texture of fruit images. This books describes - • The concepts of CBIR, applications of CBIR, Architecture of CBIR system and issues in CBIR system. • Various feature extraction methods, similarity measure, image segmentation. • The method of retrieval of fruit images based on color . • Retrieval of fruit images using texture and color features. • Segmentation of multifruit images using L*a*b space. • Recognition of fruit images using shape descriptor and color features.
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About the Author
Dr. Rajivkumar Mente is working as Assistant Professor in School of Computational Sciences, Solapur University, Solapur, India having 23 years teaching experience. His areas of interest are Digital Image Processing, Data Structure, DBMS etc.Prof. B. V. Dhandra was the Chairman of Department of Computer Science, Gulbarga University, Gulbarga, India
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CBIR From Fruit Image Database and Recognition
Published by
LAP LAMBERT Academic Publishing Jun 2017, 2017
ISBN 10: 3330331089
ISBN 13: 9783330331082
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Taschenbuch
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 -A technique which uses visual contents of images to search images from large image database is known as Content Based Image Retrieval (CBIR). This book provides the core concepts of CBIR along with some algorithms based on color, shape and texture of fruit images. This books describes - - The concepts of CBIR, applications of CBIR, Architecture of CBIR system and issues in CBIR system. - Various feature extraction methods, similarity measure, image segmentation. - The method of retrieval of fruit images based on color . - Retrieval of fruit images using texture and color features. - Segmentation of multifruit images using L a b space. - Recognition of fruit images using shape descriptor and color features. 96 pp. Englisch. Seller Inventory # 9783330331082
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CBIR From Fruit Image Database and Recognition
Published by
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330331089
ISBN 13: 9783330331082
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Softcover
Seller: moluna, Greven, Germany
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Mente RajivkumarDr. Rajivkumar Mente is working as Assistant Professor in School of Computational Sciences, Solapur University, Solapur, India having 23 years teaching experience. His areas of interest are Digital Image Processing, D. Seller Inventory # 151238152
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CBIR From Fruit Image Database and Recognition: CBIR from Fruit Image Database and Recognition
Published by
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330331089
ISBN 13: 9783330331082
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Seller: Revaluation Books, Exeter, United Kingdom
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Paperback. Condition: Brand New. 96 pages. 8.66x5.91x0.22 inches. In Stock. Seller Inventory # __3330331089
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CBIR From Fruit Image Database and Recognition
Published by
LAP LAMBERT Academic Publishing Jun 2017, 2017
ISBN 10: 3330331089
ISBN 13: 9783330331082
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -A technique which uses visual contents of images to search images from large image database is known as Content Based Image Retrieval (CBIR). This book provides the core concepts of CBIR along with some algorithms based on color, shape and texture of fruit images. This books describes - ¿ The concepts of CBIR, applications of CBIR, Architecture of CBIR system and issues in CBIR system. ¿ Various feature extraction methods, similarity measure, image segmentation. ¿ The method of retrieval of fruit images based on color . ¿ Retrieval of fruit images using texture and color features. ¿ Segmentation of multifruit images using L\*a\*b space. ¿ Recognition of fruit images using shape descriptor and color features.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 96 pp. Englisch. Seller Inventory # 9783330331082
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CBIR From Fruit Image Database and Recognition : CBIR from Fruit Image Database and Recognition
Published by
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330331089
ISBN 13: 9783330331082
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A technique which uses visual contents of images to search images from large image database is known as Content Based Image Retrieval (CBIR). This book provides the core concepts of CBIR along with some algorithms based on color, shape and texture of fruit images. This books describes - - The concepts of CBIR, applications of CBIR, Architecture of CBIR system and issues in CBIR system. - Various feature extraction methods, similarity measure, image segmentation. - The method of retrieval of fruit images based on color . - Retrieval of fruit images using texture and color features. - Segmentation of multifruit images using L a b space. - Recognition of fruit images using shape descriptor and color features. Seller Inventory # 9783330331082
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CBIR From Fruit Image Database and Recognition | CBIR from Fruit Image Database and Recognition
Published by
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330331089
ISBN 13: 9783330331082
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Taschenbuch
Seller: preigu, Osnabrück, Germany
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Taschenbuch. Condition: Neu. CBIR From Fruit Image Database and Recognition | CBIR from Fruit Image Database and Recognition | Rajivkumar Mente (u. a.) | Taschenbuch | 96 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783330331082 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 109316568