9786204200828 - Development and Performance Evaluation of Texture Based CBIR Algorithm: Image Retrieval Methods de Naik, Jatothu Brahmaiah; Srinivasarao, Ch (5 resultados)

Condición: New.

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.

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.

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.

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.