Information Retrieval from Database - Kumar, Raghvendra
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Powerful techniques have been developed in recent years for the analysis of digital data, especially the manipulation of images. This book provides an in-depth introduction to a range of these innovative, avant-garde data-processing techniques. It develops the reader's understanding of each technique and then shows with practical examples how they can be applied to improve the skills of graduate students and researchers in astronomy, electrical engineering, physics, geophysics and medical imaging. What sets this book apart from others on the subject is the complementary blend of theory and…mehr

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Produktbeschreibung
Powerful techniques have been developed in recent years for the analysis of digital data, especially the manipulation of images. This book provides an in-depth introduction to a range of these innovative, avant-garde data-processing techniques. It develops the reader's understanding of each technique and then shows with practical examples how they can be applied to improve the skills of graduate students and researchers in astronomy, electrical engineering, physics, geophysics and medical imaging. What sets this book apart from others on the subject is the complementary blend of theory and practical application. Throughout, it is copiously illustrated with real-world examples from astronomy, electrical engineering, remote sensing and medicine. It also shows how many, more traditional, methods can be enhanced by incorporating the new wavelet and multi scale methods into the processing. For graduate students and researchers already experienced in image processing and data analysis,this book provides an indispensable guide to a wide range of exciting and original data-analysis techniques.
Autorenporträt
Raghvendra Kumar working as Assistant Professor in LNCT Group of college Jabalpur,India. He is Pursuing PhD in Computer Science from Jodhpur National University, Jodhpur, Rajasthan. His subjects of interest include Computer Networking, Theory of Computer Science, Data Mining and Analysis & Design of Algorithms.