Content Based Image Retrieval by Zeki Mohammed (8 results)

Taschenbuch. Condition: Neu. Content Based Image Retrieval | Concepts and Methods for Efficient Retrieval for Medical Images | Esraa Zeki Mohammed (u. a.) | Taschenbuch | 132 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9783659452871 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.…

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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The field of content-based image retrieval (CBIR) focuses on the analysis of image content and the development of tools to represent the visual content in a way that can be efficiently searched and compared. The main aim of this work is to improve the retrieval performance of medical images retrieval methodology that is based on various types of visual features (such as color, texture and shape). The improvement is based on a new multi-level retrieval scheme that deals with different types of medical databases. Within the two phases of the system (i.e., enrollment and retrieval) some new features are introduced. Also, to reach high precision and recall levels, various methods are combined; such as the similarity measures based on Euclidian distance and the artificial neural network trained using back propagation algorithm. 132 pp. Englisch.…

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Zeki Mohammed EsraaPh.D. in Computer Science, University of Sulaimani, Iraq, 2013. M.Sc. in Computer Science, University of Sulaimani, Iraq, 2009.B.Sc. in Computer Science, University of Mosul, Iraq, 2000. Research Interest: Artifici. …

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The field of content-based image retrieval (CBIR) focuses on the analysis of image content and the development of tools to represent the visual content in a way that can be efficiently searched and compared. The main aim of this work is to improve the retrieval performance of medical images retrieval methodology that is based on various types of visual features (such as color, texture and shape). The improvement is based on a new multi-level retrieval scheme that deals with different types of medical databases. Within the two phases of the system (i.e., enrollment and retrieval) some new features are introduced. Also, to reach high precision and recall levels, various methods are combined; such as the similarity measures based on Euclidian distance and the artificial neural network trained using back propagation algorithm. …

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The field of content-based image retrieval (CBIR) focuses on the analysis of image content and the development of tools to represent the visual content in a way that can be efficiently searched and compared. The main aim of this work is to improve the retrieval performance of medical images retrieval methodology that is based on various types of visual features (such as color, texture and shape). The improvement is based on a new multi-level retrieval scheme that deals with different types of medical databases. Within the two phases of the system (i.e., enrollment and retrieval) some new features are introduced. Also, to reach high precision and recall levels, various methods are combined; such as the similarity measures based on Euclidian distance and the artificial neural network trained using back propagation algorithm.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 132 pp. Englisch.…

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