Автор: James C. Bezdek; James Keller; Raghu Krisnapuram; Название: Fuzzy Models and Algorithms for Pattern Recognition and Image Processing ISBN: 0792385217 ISBN-13(EAN): 9780792385219 Издательство: Springer Рейтинг: Цена: 418330.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This study introduces the use of fuzzy models in pattern recognition and selected topics in image processing and computer vision. The main topics are clustering and classifier design, with extensive material on feature analysis relational clustering, image processing and computer vision.
Автор: Vese Название: Variational Methods in Image Processing ISBN: 1439849730 ISBN-13(EAN): 9781439849736 Издательство: Taylor&Francis Рейтинг: Цена: 91860.00 T Наличие на складе: Невозможна поставка. Описание:
Variational Methods in Image Processing presents the principles, techniques, and applications of variational image processing. The text focuses on variational models, their corresponding Euler-Lagrange equations, and numerical implementations for image processing. It balances traditional computational models with more modern techniques that solve the latest challenges introduced by new image acquisition devices.
The book addresses the most important problems in image processing along with other related problems and applications. Each chapter presents the problem, discusses its mathematical formulation as a minimization problem, analyzes its mathematical well-posedness, derives the associated Euler-Lagrange equations, describes the numerical approximations and algorithms, explains several numerical results, and includes a list of exercises. MATLAB(R) codes are available online.
Filled with tables, illustrations, and algorithms, this self-contained textbook is primarily for advanced undergraduate and graduate students in applied mathematics, scientific computing, medical imaging, computer vision, computer science, and engineering. It also offers a detailed overview of the relevant variational models for engineers, professionals from academia, and those in the image processing industry.
Автор: Aubert Название: Mathematical Problems in Image Processing ISBN: 0387322000 ISBN-13(EAN): 9780387322001 Издательство: Springer Рейтинг: Цена: 121110.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The updated 2nd edition of this book presents a variety of image analysis applications, reviews their precise mathematics and shows how to discretize them. For the mathematical community, the book shows the contribution of mathematics to this domain, and highlights unsolved theoretical questions.
Автор: Armando Marino Название: A New Target Detector Based on Geometrical Perturbation Filters for Polarimetric Synthetic Aperture Radar (POL-SAR) ISBN: 3642431569 ISBN-13(EAN): 9783642431562 Издательство: Springer Рейтинг: Цена: 121890.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This publication details a groundbreaking radar methodology called perturbation analysis, which enables detection of targets smaller than the resolution cell that are highly embedded in clutter. It pushes forward the performance limits of current algorithms.
Автор: Branko Ristic Название: Particle Filters for Random Set Models ISBN: 148998884X ISBN-13(EAN): 9781489988843 Издательство: Springer Рейтинг: Цена: 104480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book covers state estimation of stochastic dynamic systems from noisy measurements, specifically sequential Bayesian estimation and nonlinear or stochastic filtering. Describes applications in multi-target systems, video tracking of pedestrians and more.
Автор: Parker J J Название: Algorithms for Image Processing and Computer Vision ISBN: 0470643854 ISBN-13(EAN): 9780470643853 Издательство: Wiley Рейтинг: Цена: 83430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Caponetti Название: Fuzzy Logic for Image Processing ISBN: 3319441280 ISBN-13(EAN): 9783319441283 Издательство: Springer Рейтинг: Цена: 51230.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book provides an introduction to fuzzy logic approaches useful in image processing. The authors start by introducing image processing tasks of low and medium level such as thresholding, enhancement, edge detection, morphological filters, and segmentation and shows how fuzzy logic approaches apply. The book is divided into two parts. The first includes vagueness and ambiguity in digital images, fuzzy image processing, fuzzy rule based systems, and fuzzy clustering. The second part includes applications to image processing, image thresholding, color contrast enhancement, edge detection, morphological analysis, and image segmentation. Throughout, they describe image processing algorithms based on fuzzy logic under methodological aspects in addition to applicative aspects. Implementations in java are provided for the various applications.
Автор: Etienne E. Kerre; Mike Nachtegael Название: Fuzzy Techniques in Image Processing ISBN: 3790824755 ISBN-13(EAN): 9783790824759 Издательство: Springer Рейтинг: Цена: 153720.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Regarding the scientific com- ponent, quite recently the scientific community became familiar with "fuzzy techniques" in image processing, which make use of the framework of fuzzy sets and related theories.
Автор: Chen Название: Principles of Synthetic Aperture Radar Imaging ISBN: 1466593148 ISBN-13(EAN): 9781466593145 Издательство: Taylor&Francis Рейтинг: Цена: 168430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Chan, Tony F. Jianhong, Shen Название: Image processing and analysis ISBN: 089871589X ISBN-13(EAN): 9780898715897 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 83600.00 T Наличие на складе: Нет в наличии. Описание: This book develops the mathematical foundation of modern image processing and low-level computer vision, bridging contemporary mathematics with state-of-the-art methodologies in modern image processing, whilst organizing contemporary literature into a coherent and logical structure. The authors have integrated the diversity of modern image processing approaches by revealing the few common threads that connect them to Fourier and spectral analysis, the machinery that image processing has been traditionally built on. The text is systematic and well organized: the geometric, functional, and atomic structures of images are investigated, before moving to a rigorous development and analysis of several image processors. The book is comprehensive and integrative, covering the four most powerful classes of mathematical tools in contemporary image analysis and processing while exploring their intrinsic connections and integration. The material is balanced in theory and computation, following a solid theoretical analysis of model building and performance with computational implementation and numerical examples.
Автор: Xue-Cheng Tai; Knut-Andreas Lie; Tony F. Chan; Sta Название: Image Processing Based on Partial Differential Equations ISBN: 3540332669 ISBN-13(EAN): 9783540332664 Издательство: Springer Рейтинг: Цена: 194730.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Coverage includes: level set methods for image segmentation and construction, denoising techniques, digital image inpainting, image dejittering, image registration, and fast numerical algorithms for solving these problems.
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