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Soft Computing for Image Processing, Sankar K. Pal; Ashish Ghosh; Malay K. Kundu


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Цена: 27251.00р.
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Автор: Sankar K. Pal; Ashish Ghosh; Malay K. Kundu
Название:  Soft Computing for Image Processing
ISBN: 9783790824681
Издательство: Springer
Классификация:


ISBN-10: 3790824682
Обложка/Формат: Paperback
Страницы: 591
Вес: 0.84 кг.
Дата издания: 21.10.2010
Серия: Studies in Fuzziness and Soft Computing
Язык: English
Размер: 234 x 156 x 32
Основная тема: Computer Science
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: It was pointed out nearly 30 years ago by Prewitt (1] that the decisions involved in image segmentation could be postponed by regarding the image parts as fuzzy, rather than crisp, subsets of the image.


New Soft Computing Techniques for System Modeling, Pattern Classification and Image Processing

Автор: Leszek Rutkowski
Название: New Soft Computing Techniques for System Modeling, Pattern Classification and Image Processing
ISBN: 3642058205 ISBN-13(EAN): 9783642058202
Издательство: Springer
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Цена: 27251.00 р.
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Описание: The present vol- ume, based mostly on his own work, is a milestone in the devel- opment of soft computing, integrating various disciplines from the fields of information science and engineering.

Multimedia Processing, Communication and Computing Applications

Автор: Punitha P. Swamy; Devanur S. Guru
Название: Multimedia Processing, Communication and Computing Applications
ISBN: 813221708X ISBN-13(EAN): 9788132217084
Издательство: Springer
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Цена: 23508.00 р.
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Описание: ICMCCA 2012 is the first International Conference on Multimedia Processing, Communication and Computing Applications and the theme of the Conference is chosen as `Multimedia Processing and its Applications`.

Principles of Synthetic Aperture Radar Imaging

Автор: Chen
Название: Principles of Synthetic Aperture Radar Imaging
ISBN: 1466593148 ISBN-13(EAN): 9781466593145
Издательство: Taylor&Francis
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Цена: 25265.00 р.
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Описание:

Principles of Synthetic Aperture Radar Imaging: A System Simulation Approach demonstrates the use of image simulation for SAR. It covers the various applications of SAR (including feature extraction, target classification, and change detection), provides a complete understanding of SAR principles, and illustrates the complete chain of a SAR operation.

The book places special emphasis on a ground-based SAR, but also explains space and air-borne systems. It contains chapters on signal speckle, radar-signal models, sensor-trajectory models, SAR-image focusing, platform-motion compensation, and microwave-scattering from random media.

While discussing SAR image focusing and motion compensation, it presents processing algorithms and applications that feature extraction, target classification, and change detection. It also provides samples of simulation on various scenarios, and includes simulation flowcharts and results that are detailed throughout the book.

Introducing SAR imaging from a systems point of view, the author:

  • Considers the recent development of MIMO SAR technology
  • Includes selected GPU implementation
  • Provides a numerical analysis of system parameters (including platforms, sensor, and image focusing, and their influence)
  • Explores wave-target interactions, signal transmission and reception, image formation, motion compensation
  • Covers all platform motion compensation and error analysis, and their impact on final image radiometric and geometric quality
  • Describes a ground-based SFMCW system

Principles of Synthetic Aperture Radar Imaging: A System Simulation Approach is dedicated to the use, study, and development of SAR systems. The book focuses on image formation or focusing, treats platform motion and image focusing, and is suitable for students, radar engineers, and microwave remote sensing researchers.

Hybrid Soft Computing for Image Segmentation

Автор: Siddhartha Bhattacharyya; Paramartha Dutta; Sourav
Название: Hybrid Soft Computing for Image Segmentation
ISBN: 3319472224 ISBN-13(EAN): 9783319472225
Издательство: Springer
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Цена: 15372.00 р.
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Описание: This book proposes soft computing techniques for segmenting real-life images in applications such as image processing, image mining, video surveillance, and intelligent transportation systems. The book suggests hybrids deriving from three main approaches: fuzzy systems, primarily used for handling real-life problems that involve uncertainty; artificial neural networks, usually applied for machine cognition, learning, and recognition; and evolutionary computation, mainly used for search, exploration, efficient exploitation of contextual information, and optimization.The contributed chapters discuss both the strengths and the weaknesses of the approaches, and the book will be valuable for researchers and graduate students in the domains of image processing and computational intelligence.

Soft computing for image and multimedia data processing

Автор: Bhattacharyya, Siddhartha Maulik, Ujjwal
Название: Soft computing for image and multimedia data processing
ISBN: 3642402542 ISBN-13(EAN): 9783642402548
Издательство: Springer
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Цена: 10480.00 р.
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Описание: Soft Computing for Image and Multimedia Data Processing

Advances in Soft Computing and Machine Learning in Image Processing

Автор: Aboul Ella Hassanien; Diego Alberto Oliva
Название: Advances in Soft Computing and Machine Learning in Image Processing
ISBN: 3319637533 ISBN-13(EAN): 9783319637532
Издательство: Springer
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Цена: 32142.00 р.
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Описание: This book is a collection of the latest applications of methods from soft computing and machine learning in image processing. It explores different areas ranging from image segmentation to the object recognition using complex approaches, and includes the theory of the methodologies used to provide an overview of the application of these tools in image processing. The material has been compiled from a scientific perspective, and the book is primarily intended for undergraduate and postgraduate science, engineering, and computational mathematics students. It can also be used for courses on artificial intelligence, advanced image processing, and computational intelligence, and is a valuable resource for researchers in the evolutionary computation, artificial intelligence and image processing communities.

Soft Computing for Image and Multimedia Data Processing

Автор: Siddhartha Bhattacharyya; Ujjwal Maulik
Название: Soft Computing for Image and Multimedia Data Processing
ISBN: 3662513595 ISBN-13(EAN): 9783662513590
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This full-spectrum graduate textbook starts with a tutorial on brain learning and the key soft computing techniques. It focuses on object extraction, image segmentation and edge detection, with extensive real-life applications in multimedia data processing.

Soft Computing for Image Processing

Автор: Sankar K. Pal; Ashish Ghosh; Malay K. Kundu
Название: Soft Computing for Image Processing
ISBN: 3790812684 ISBN-13(EAN): 9783790812688
Издательство: Springer
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Цена: 27251.00 р.
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Описание: This collection of 21 articles contains new material and describes, in a unified way with extensive real life applications, the merits and significance of performing different image processing/analysis tasks in soft computing paradigm.

Biologically Rationalized Computing Techniques For Image Processing Applications

Автор: Jude Hemanth; Valentina Emilia Balas
Название: Biologically Rationalized Computing Techniques For Image Processing Applications
ISBN: 3319613154 ISBN-13(EAN): 9783319613154
Издательство: Springer
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Цена: 19564.00 р.
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Описание: This book introduces readers to innovative bio-inspired computing techniques for image processing applications. It demonstrates how a significant drawback of image processing - not providing the simultaneous benefits of high accuracy and less complexity - can be overcome, proposing bio-inspired methodologies to help do so.

Soft Computing in Big Data Processing

Автор: Keon Myung Lee; Seung-Jong Park; Jee-Hyong Lee
Название: Soft Computing in Big Data Processing
ISBN: 3319055267 ISBN-13(EAN): 9783319055268
Издательство: Springer
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Цена: 22203.00 р.
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Описание: Considering a big size of data, variety of data and frequent changes of data, the intelligent systems basically challenge new data management tasks for integration, visualization, querying and analysis.

Soft Computing for Information Processing and Analysis

Автор: Masoud Nikravesh; Lofti A. Zadeh
Название: Soft Computing for Information Processing and Analysis
ISBN: 3642061818 ISBN-13(EAN): 9783642061813
Издательство: Springer
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Цена: 27251.00 р.
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Описание: This carefully edited book has evolved from presentations made by the participants of a meeting entitled "Fuzzy Logic and the Internet: Enhancing the Power of the Internet", organized by the Berkeley Initiative in Soft Computing (BISC), University of California, Berkeley.

Algorithms for Image Processing and Computer Vision

Автор: Parker J J
Название: Algorithms for Image Processing and Computer Vision
ISBN: 0470643854 ISBN-13(EAN): 9780470643853
Издательство: Wiley
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Цена: 12514.00 р.
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Описание: Programmers, scientists, and engineers are always in need of newer techniques and algorithms to manipulate and interpret images. Algorithms for Image Processing and Computer Vision is an accessible collection of algorithms for common image processing applications that simplifies complicated mathematical calculations.


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