Publicado por LAP LAMBERT Academic Publishing Aug 2012, 2012
ISBN 10: 3659171727 ISBN 13: 9783659171727
Idioma: Inglés
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 49,00
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware -Image processing has become one of the most and fast growing fields. It has occupied an inevitable place in the industry. We also have worked in image processing, but, in a specific area of image retrieval. The purpose of this report is to describe the solution to the problem of designing a Content Based Image Retrieval, CBIR system. It outlines the problem, the proposed solution, the final solution that will be accomplished. Due to the enormous increase in image database sizes, as well as its vast deployment in various applications, the need for CBIR development arose. Firstly, this report outlines a description of the primitive features of an image, texture and color. These features are extracted and used as the basis for a similarity check between images. The report describes the implementation details through which the objective is going to be satisfied, (i.e.) the algorithms used to calculate the similarity between extracted features. The structure of the final software application is also illustrated. In short it would be a nice reading experience.Books on Demand GmbH, Überseering 33, 22297 Hamburg 56 pp. Englisch.
Publicado por LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659171727 ISBN 13: 9783659171727
Idioma: Inglés
Librería: moluna, Greven, Alemania
EUR 41,05
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Vasudevan Shriram K.Shriram K Vasudevan is an M.Tech, M.B.A.,(PhD)with 6 years of experience. He has done his masters in the field of Embedded Systems. He has worked with top MNCs like WIPRO and ARICENT Technologies. His research is .
Publicado por LAP LAMBERT Academic Publishing Aug 2012, 2012
ISBN 10: 3659171727 ISBN 13: 9783659171727
Idioma: Inglés
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 49,00
Convertir monedaCantidad disponible: 2 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Image processing has become one of the most and fast growing fields. It has occupied an inevitable place in the industry. We also have worked in image processing, but, in a specific area of image retrieval. The purpose of this report is to describe the solution to the problem of designing a Content Based Image Retrieval, CBIR system. It outlines the problem, the proposed solution, the final solution that will be accomplished. Due to the enormous increase in image database sizes, as well as its vast deployment in various applications, the need for CBIR development arose. Firstly, this report outlines a description of the primitive features of an image, texture and color. These features are extracted and used as the basis for a similarity check between images. The report describes the implementation details through which the objective is going to be satisfied, (i.e.) the algorithms used to calculate the similarity between extracted features. The structure of the final software application is also illustrated. In short it would be a nice reading experience. 56 pp. Englisch.
Publicado por LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659171727 ISBN 13: 9783659171727
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 49,00
Convertir monedaCantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Image processing has become one of the most and fast growing fields. It has occupied an inevitable place in the industry. We also have worked in image processing, but, in a specific area of image retrieval. The purpose of this report is to describe the solution to the problem of designing a Content Based Image Retrieval, CBIR system. It outlines the problem, the proposed solution, the final solution that will be accomplished. Due to the enormous increase in image database sizes, as well as its vast deployment in various applications, the need for CBIR development arose. Firstly, this report outlines a description of the primitive features of an image, texture and color. These features are extracted and used as the basis for a similarity check between images. The report describes the implementation details through which the objective is going to be satisfied, (i.e.) the algorithms used to calculate the similarity between extracted features. The structure of the final software application is also illustrated. In short it would be a nice reading experience.