Content Based Image Retrieval - 4 Angebote vergleichen
Bester Preis: Fr. 1.77 (€ 1.81)¹ (vom 05.02.2018)1
Content Based Image Retrieval
DE NWISBN: 9783659452871 bzw. 3659452874, in Deutsch, neu.
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. 0.501kg, 0.100/0.100/0.100.
2
Content Based Image Retrieval
~EN NWISBN: 9783659452871 bzw. 3659452874, vermutlich in Englisch, neu.
Lieferung aus: Vereinigtes Königreich Grossbritannien und Nordirland, Lieferzeit: 11 Tage.
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.
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.
3
Content Based Image Retrieval - Concepts and Methods for Efficient Retrieval for Medical Images
~EN PB NWISBN: 9783659452871 bzw. 3659452874, vermutlich in Englisch, LAP Lambert Academic Publishing, Taschenbuch, neu.
Lieferung aus: Deutschland, Versandkostenfrei.
Content Based Image Retrieval: 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. Englisch, Taschenbuch.
Content Based Image Retrieval: 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. Englisch, Taschenbuch.
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