Intelligent Multidimensional Data and Image Processing, Sourav De, Siddhartha Bhattacharyya, Paramartha Dutta

Автор: Paul Fieguth
Название: Statistical Image Processing and Multidimensional Modeling
ISBN: 1461427053 ISBN-13(EAN): 9781461427056
Издательство: Springer
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Цена: 121110.00 T
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Описание: Examples abound throughout remote sensing (satellite data mapping, data assimilation, climate-change studies, land use), medical imaging (organ segmentation, anomaly detection), computer vision (image classification, segmentation), and other 2D/3D problems (biological imaging, porous media).

Автор: Alexandre Smirnov
Название: Processing of Multidimensional Signals
ISBN: 3540654496 ISBN-13(EAN): 9783540654490
Издательство: Springer
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Цена: 148020.00 T
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Описание: Multidimensional or spatio-temporal signals are important in image processing and television. This book presents the mathematical methods for processing multidimensional signals. It describes applications in system analysis, measurement and optimization and signal restoration, with varying examples of applications.

Автор: Alexandre Smirnov
Название: Processing of Multidimensional Signals
ISBN: 3642084788 ISBN-13(EAN): 9783642084782
Издательство: Springer
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Цена: 130590.00 T
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Описание: Multidimensional or spatio-temporal signals are important in image processing and television. This book presents the mathematical methods for processing multidimensional signals. It describes applications in system analysis, measurement and optimization and signal restoration, with varying examples of applications.

Автор: Nirmal K. Bose; Nirmal K. Bose
Название: Applied Multidimensional Systems Theory
ISBN: 3319468243 ISBN-13(EAN): 9783319468242
Издательство: Springer
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Цена: 74530.00 T
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Автор: Chiranji Lal Chowdhary
Название: Intelligent Systems: Advances in Biometric Systems, Soft Computing, Image Processing, and Data Analytics
ISBN: 1771888008 ISBN-13(EAN): 9781771888004
Издательство: Taylor&Francis
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Цена: 133730.00 T
Наличие на складе: Невозможна поставка.
Описание: This volume, Intelligent Systems: Advances in Biometric Systems, Soft Computing, Image Processing, and Data Analytics, helps to fill the gap between data analytics, image processing, and soft computing practices. Soft computing methods are used to focus on data analytics and image processing approaches to develop good intelligent system

Автор: Bruce G. Batchelor
Название: Intelligent Image Processing in Prolog
ISBN: 1447111311 ISBN-13(EAN): 9781447111313
Издательство: Springer
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Цена: 139750.00 T
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Автор: V. Santhi, D.P. Acharjya, M. Ezhilarasan
Название: Emerging Technologies in Intelligent Applications for Image and Video Processing
ISBN: 1466696850 ISBN-13(EAN): 9781466696853
Издательство: Mare Nostrum (Eurospan)
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Цена: 228230.00 T
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Описание: Presents current research relating to multimedia technologies including video and image restoration and enhancement as well as algorithms used for image and video compression, indexing and retrieval processes, and security concerns. It features insight from researchers from around the world.

Название: Intelligent Computer Vision and Image Processing
ISBN: 1466639067 ISBN-13(EAN): 9781466639065
Издательство: Mare Nostrum (Eurospan)
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Цена: 184800.00 T
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Описание: Innovations in computer vision technology continue to advance the applications and design of image processing and its influence on multimedia applications. <em>Intelligent Computer Vision and Image Processing: Innovation, Application, and Design</em> provides methods and research on various disciplines related to the science and technology of machines. This reference source is essential for academicians, researchers, and practitioners interested in the latest developments and innovations in computer science, education, and security.

Автор: Bruce G. Batchelor
Название: Intelligent Image Processing in Prolog
ISBN: 3540196471 ISBN-13(EAN): 9783540196471
Издательство: Springer
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Цена: 144410.00 T
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Описание: Integrates two technologies, namely Image Processing (IP) and Artificial Intelligence (AI) through the implementation of a fifth generation of industrial vision systems. This book is suitable for image processing specialists and Prolog enthusiasts.

Автор: Rik Das, Sourav De, Siddhartha Bhattacharyya
Название: Feature Dimension Reduction for Content-Based Image Identification
ISBN: 152255775X ISBN-13(EAN): 9781522557753
Издательство: Mare Nostrum (Eurospan)
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Цена: 208830.00 T
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Описание: Image data has portrayed immense potential as a foundation of information for numerous applications. Recent trends in multimedia computing have witnessed a rapid growth in digital image collections, resulting in a need for increased image data management.Feature Dimension Reduction for Content-Based Image Identification is a pivotal reference source that explores the contemporary trends and techniques of content-based image recognition. Including research covering topics such as feature extraction, fusion techniques, and image segmentation, this book explores different theories to facilitate timely identification of image data and managing, archiving, maintaining, and extracting information. This book is ideally designed for engineers, IT specialists, researchers, academicians, and graduate-level students seeking interdisciplinary research on image processing and analysis.

Автор: Steven Bell, Jing Pu, James Hegarty, Mark Horowitz
Название: Compiling Algorithms for Heterogeneous Systems
ISBN: 1681732637 ISBN-13(EAN): 9781681732633
Издательство: Mare Nostrum (Eurospan)
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Цена: 72070.00 T
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Описание: Most emerging applications in imaging and machine learning must perform immense amounts of computation while holding to strict limits on energy and power. To meet these goals, architects are building increasingly specialized compute engines tailored for these specific tasks. The resulting computer systems are heterogeneous, containing multiple processing cores with wildly different execution models. Unfortunately, the cost of producing this specialized hardware—and the software to control it—is astronomical. Moreover, the task of porting algorithms to these heterogeneous machines typically requires that the algorithm be partitioned across the machine and rewritten for each specific architecture, which is time consuming and prone to error.Over the last several years, the authors have approached this problem using domain-specific languages (DSLs): high-level programming languages customized for specific domains, such as database manipulation, machine learning, or image processing. By giving up generality, these languages are able to provide high-level abstractions to the developer while producing high performance output. The purpose of this book is to spur the adoption and the creation of domain-specific languages, especially for the task of creating hardware designs.In the first chapter, a short historical journey explains the forces driving computer architecture today. Chapter 2 describes the various methods for producing designs for accelerators, outlining the push for more abstraction and the tools that enable designers to work at a higher conceptual level. From there, Chapter 3 provides a brief introduction to image processing algorithms and hardware design patterns for implementing them. Chapters 4 and 5 describe and compare Darkroom and Halide, two domain-specific languages created for image processing that produce high-performance designs for both FPGAs and CPUs from the same source code, enabling rapid design cycles and quick porting of algorithms. The final section describes how the DSL approach also simplifies the problem of interfacing between application code and the accelerator by generating the driver stack in addition to the accelerator configuration.This book should serve as a useful introduction to domain-specialized computing for computer architecture students and as a primer on domain-specific languages and image processing hardware for those with more experience in the field.

Автор: P. Swarnalatha, Prabu Sevugan
Название: Big Data Analytics for Satellite Image Processing and Remote Sensing
ISBN: 1522536434 ISBN-13(EAN): 9781522536437
Издательство: Mare Nostrum (Eurospan)
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Цена: 208830.00 T
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Описание: The scope of image processing and recognition has broadened due to the gap in scientific visualization. Thus, new imaging techniques have developed, and it is imperative to study this progression for optimal utilization.Big Data Analytics for Satellite Image Processing and Remote Sensing is a critical scholarly resource that examines the challenges and difficulties of implementing big data in image processing for remote sensing and related areas. Featuring coverage on a broad range of topics, such as distributed computing, parallel processing, and spatial data, this book is geared towards scientists, professionals, researchers, and academicians seeking current research on the use of big data analytics in satellite image processing and remote sensing.