Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
Spese di spedizione:
EUR 3,75
In U.S.A.
Descrizione libro Condizione: New. Codice articolo ABLIING23Mar3113020265923
Descrizione libro PF. Condizione: New. Codice articolo 6666-IUK-9783659145810
Descrizione libro PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Codice articolo L0-9783659145810
Descrizione libro Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Digital image collection is increasing rapidly with the development of Internet and with the advent of highly sophisticated image capturing devices like sensors and digital cameras. Efficient image searching, browsing, and retrieval tools are required by the users for various image processing applications. Content Based Image Retrieval (CBIR) is the solution to overcome the disadvantages in retrieval systems, where in the images are indexed by their own visual content, viz., color, texture, shape. An emphasis is given to review shape based CBIR algorithms in this book. A comprehensive review of different CBIR algorithms is also presented. Various CBIR systems available in the literature are compared in terms of the features used for CBIR, advantages and disadvantages are also appended in Annexure I. CBIR algorithms using SVD, Contourlet Transform, Exact Legendre Moments (ELMs) features are discussed. CBIR algorithm using ELMs and Support Vector Machine (SVM) classifier is the highlight of this book. This book, therefore, covers basics, concepts, and novel algorithms useful for students and researchers in Image processing in general and CBIR community in particular. 160 pp. Englisch. Codice articolo 9783659145810
Descrizione libro Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Digital image collection is increasing rapidly with the development of Internet and with the advent of highly sophisticated image capturing devices like sensors and digital cameras. Efficient image searching, browsing, and retrieval tools are required by the users for various image processing applications. Content Based Image Retrieval (CBIR) is the solution to overcome the disadvantages in retrieval systems, where in the images are indexed by their own visual content, viz., color, texture, shape. An emphasis is given to review shape based CBIR algorithms in this book. A comprehensive review of different CBIR algorithms is also presented. Various CBIR systems available in the literature are compared in terms of the features used for CBIR, advantages and disadvantages are also appended in Annexure I. CBIR algorithms using SVD, Contourlet Transform, Exact Legendre Moments (ELMs) features are discussed. CBIR algorithm using ELMs and Support Vector Machine (SVM) classifier is the highlight of this book. This book, therefore, covers basics, concepts, and novel algorithms useful for students and researchers in Image processing in general and CBIR community in particular. Codice articolo 9783659145810
Descrizione libro PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Codice articolo L0-9783659145810
Descrizione libro Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Srinivasa Rao ChanamalluDr.Chanamallu Srinivasa Rao, Ph.D: Studied at University College of Engineering, JNTUK Kakinada. Professor of ECE and Principal at Sri Sai Aditya Institute of Science & Technology, Surampalem, ADB Road, E.G, . Codice articolo 5134793