Development and Performance Evaluation of Texture Based CBIR Algorithm: Image Retrieval Methods - Tapa blanda
Sinopsis
The book proposes a content-based image retrieval (CBIR) system that employs an informative pattern-based descriptor. Recent literature has reported the development of efficient local-pattern-based descriptors, including the local vector pattern (LVP). This article extends the LVP formulation by making it more computationally efficient and informative. In the extended LVP-based extraction process, the global index angles are determined using the mutual information between the patterns, which are obtained from a pair of indexed angles.
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Development and Performance Evaluation of Texture Based CBIR Algorithm
Publicado por
LAP LAMBERT Academic Publishing Aug 2021, 2021
ISBN 10: 6204200828
ISBN 13: 9786204200828
Nuevo
Taschenbuch
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The book proposes a content-based image retrieval (CBIR) system that employs an informative pattern-based descriptor. Recent literature has reported the development of efficient local-pattern-based descriptors, including the local vector pattern (LVP). This article extends the LVP formulation by making it more computationally efficient and informative. In the extended LVP-based extraction process, the global index angles are determined using the mutual information between the patterns, which are obtained from a pair of indexed angles. 180 pp. Englisch. Nº de ref. del artículo: 9786204200828
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Development and Performance Evaluation of Texture Based CBIR Algorithm
Publicado por
LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6204200828
ISBN 13: 9786204200828
Nuevo
Tapa blanda
Librería: moluna, Greven, Alemania
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Condición: New. Nº de ref. del artículo: 508975122
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Imagen del vendedor
Development and Performance Evaluation of Texture Based CBIR Algorithm | Image Retrieval Methods
Publicado por
LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6204200828
ISBN 13: 9786204200828
Nuevo
Taschenbuch
Librería: preigu, Osnabrück, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Development and Performance Evaluation of Texture Based CBIR Algorithm | Image Retrieval Methods | Jatothu Brahmaiah Naik (u. a.) | Taschenbuch | Englisch | 2021 | LAP LAMBERT Academic Publishing | EAN 9786204200828 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. Nº de ref. del artículo: 120560161
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Development and Performance Evaluation of Texture Based CBIR Algorithm
Publicado por
LAP LAMBERT Academic Publishing Aug 2021, 2021
ISBN 10: 6204200828
ISBN 13: 9786204200828
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Neuware -The book proposes a content-based image retrieval (CBIR) system that employs an informative pattern-based descriptor. Recent literature has reported the development of efficient local-pattern-based descriptors, including the local vector pattern (LVP). This article extends the LVP formulation by making it more computationally efficient and informative. In the extended LVP-based extraction process, the global index angles are determined using the mutual information between the patterns, which are obtained from a pair of indexed angles.Books on Demand GmbH, Überseering 33, 22297 Hamburg 180 pp. Englisch. Nº de ref. del artículo: 9786204200828
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Development and Performance Evaluation of Texture Based CBIR Algorithm : Image Retrieval Methods
Publicado por
LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6204200828
ISBN 13: 9786204200828
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The book proposes a content-based image retrieval (CBIR) system that employs an informative pattern-based descriptor. Recent literature has reported the development of efficient local-pattern-based descriptors, including the local vector pattern (LVP). This article extends the LVP formulation by making it more computationally efficient and informative. In the extended LVP-based extraction process, the global index angles are determined using the mutual information between the patterns, which are obtained from a pair of indexed angles. Nº de ref. del artículo: 9786204200828
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