Image Processing and Mathematical Morphology, Shih, Frank Y.
Автор: Aubert Название: Mathematical Problems in Image Processing ISBN: 0387322000 ISBN-13(EAN): 9780387322001 Издательство: Springer Рейтинг: Цена: 11219 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Presents a variety of image analysis applications, the precise mathematics involved and how to discretize them. This book also provides readers with the programming tools to create simulations of their own with minimal effort.
Описание: Statistical Processing Techniques for Noisy Images presents a statistical framework to design algorithms for target detection, tracking, segmentation and classification (identification). Its main goal is to provide the reader with efficient tools for developing algorithms that solve his/her own image processing applications. In particular, such topics as hypothesis test-based detection, fast active contour segmentation and algorithm design for non-conventional imaging systems are comprehensively treated, from theoretical foundations to practical implementations. With a large number of illustrations and practical examples, this book serves as an excellent textbook or reference book for senior or graduate level courses on statistical signal/image processing, as well as a reference for researchers in related fields.
Описание: Embedded Image Processing on the TMS320C6000в„ў DSP: Examples in Code Composer Studioв„ў and MATLAB focuses on efficient implementations of advanced image processing algorithms for resource-constrained embedded DSP systems. Featuring the popular Texas Instruments TMS320C6000TM line of Digital Signal Processors, it utilizes a proven methodology of beginning with a high-level algorithmic point-of-view, proceeding to develop prototype code in MATLAB and Visual Studio, and concluding with an efficient implementation suitable for deployment on an embedded DSP system.Aside from image processing, the author also explains the uses and rationale behind a plethora of technologies, most notably several industry-standard and essential TI developer technologies, including the Code Composer Studioв„ў IDE. Highlights include numerous debugged MATLAB and C/C++ Visual Studio prototype applications and efficient C implementations of real-world algorithms tested on both the C6416 DSK and C6701 EVM development platforms.Packaged with the book is a CD-ROM which includes the source code, tested and debugged using the latest versions of developer tools, as well as sample image data. The CD-ROM contains a number of projects, spanning a diverse range of image processing applications such as, spatial processing techniques, image filtering, edge detection and segmentation schemes, and wavelet-based algorithms, among others.
Автор: Middleton Lee, Sivaswamy Jayanthi Название: Hexagonal Image Processing / A Practical Approach ISBN: 1852339144 ISBN-13(EAN): 9781852339142 Издательство: Springer Рейтинг: Цена: 13089 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: An alternative, novel and practical approach to image processing on hexagonal grids - informs about the scope for its potential as a practical alternative to processing images defined on a square grid.
Автор: Chee Sun Won, Gray Robert M. Название: Stochastic Image Processing ISBN: 0306481928 ISBN-13(EAN): 9780306481925 Издательство: Springer Рейтинг: Цена: 12154 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Stochastic Image Processing provides the first thorough treatment of Markov and hidden Markov random fields and their application to image processing. Although promoted as a promising approach for over thirty years, it has only been in the past few years that the theory and algorithms have developed to the point of providing useful solutions to old and new problems in image processing. Markov random fields are a multidimensional extension of Markov chains, but the generalization is complicated by the lack of a natural ordering of pixels in multidimensional spaces. Hidden Markov fields are a natural generalization of the hidden Markov models that have proved essential to the development of modern speech recognition, but again the multidimensional nature of the signals makes them inherently more complicated to handle. This added complexity contributed to the long time required for the development of successful methods and applications. This book collects together a variety of successful approaches to a complete and useful characterization of multidimensional Markov and hidden Markov models along with applications to image analysis. The book provides a survey and comparative development of an exciting and rapidly evolving field of multidimensional Markov and hidden Markov random fields with extensive references to the literature.
Описание: This is the first book to explain and demonstrate the tremendous ability of Pulse-Coupled Neural Networks (PCNNs) when applied to the field of image processing. PCNNs and their derivatives are biologically inspired models that are powerful tools for extracting texture, segments, and edges from images. As these attributes form the foundations of most image processing tasks, the use of PCNNs facilitates traditional tasks such as recognition, foveation, and image fusion. PCNN technology has also paved the way for new image processing techniques such as object isolation, spiral image fusion, image signatures, and content-based image searches. This volume contains examples of several image processing applications, as well as a review of hardware implementations.
Автор: Maria Petrou Название: Image Processing: Dealing With Texture ISBN: 0470026286 ISBN-13(EAN): 9780470026281 Издательство: Wiley Рейтинг: Цена: 6584 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Self-contained text covering practical image processing methods and theory for image texture analysis. Techniques for the analysis of texture in digital images are essential to a range of applications in areas as diverse as robotics, defence, medicine and the geo-sciences. In biological vision, texture is an important cue allowing humans to discriminate objects. This is because the brain is able to decipher important variations in data at scales smaller than those of the viewed objects. In order to deal with texture in digital data, many techniques have been developed by image processing researchers. With a wholly practical approach and many worked examples, Image Processing: Dealing with Texture is a comprehensive guide to these techniques, including chapters on mathematical morphology, fractals, Markov random fields, Gabor functions and wavelets. Structured around a series of questions and answers, enabling readers to easily locate information on specific problems, this book also: *provides detailed descriptions of methods used to analyse binary as well as grey texture images *presents information on two levels: an easy-to-follow narrative explaining the basics, and an advanced, in-depth study of mathematical theorems and concepts *looks at good' and bad' image processing practice, with wrongly designed algorithms illustrating what not to do' *includes an accompanying website, setting out all algorithms discussed within the text. An ideal self-teaching aid for senior undergraduate and Masters students taking courses in image processing and pattern recognition, this book is also an ideal reference for PhD students, electrical and biomedical engineers, mathematicians, and informatics researchers designing image processing applications.
Автор: Pelliccione Название: Evolution of Thin Film Morphology ISBN: 0387751084 ISBN-13(EAN): 9780387751085 Издательство: Springer Рейтинг: Цена: 15728 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The focus of this book is on modeling and simulations used in research on the morphological evolution during film growth. The book will enable readers themselves to set up a computational program to investigate specific topics of interest in thin film deposition.
Описание: Intends to bring together research directions in theoretical signal and imaging processing developed rather independently in electrical engineering, theoretical physics, mathematics and the computer sciences. This book summarizes work carried out in the field of theoretical signal and image processing.
Описание: This is the first book published on CMOS imagers. It covers the full chain, starting from the basic concepts of photo transduction, and continues with pixel and system examples of CMOS Active Pixel Sensor (APS) imagers. CMOS Imagers: From Phototransduction to Image Processing contains six contributed chapters. The first three detail the basic concepts of photo transduction, modeling, evaluation, and optimization of APS. The last three continue with the description of APS design issues using a bottom-up strategy, starting from pixels and finishing with image processing systems. Various focal-plane image processing alternatives to either improve imaging or to extract visual information are presented. The book closes with a discussion of a completely non-traditional method for image noise suppression. Targeted audiences for this work are people interested in imaging, whether from the academic, the industrial or the scientific arena. All students, engineers and technical workers interested in understanding more about the physics, the design and the potential of CMOS imagers are invited to read the book. Each chapter can also be read independently.
Описание: Digital holography and digital image processing are twins born by computer era. They share origin, theoretical base, methods and algorithms. The present book describes these common fundamentals principles, methods and algorithms including image and hologram digitization, data compression, digital transforms and efficient computational algorithms, statistical and Monte-Carlo methods, image restoration and enhancement, image reconstruction in tomography and digital holography, discrete signal resampling and image geometrical transformations, accurate measurements and reliable target localization in images, recording and reconstruction of computer generated holograms, adaptive and nonlinear filters for sensor signal perfecting and image restoration and enhancement. The book combines theory, heavily illustrated practical methods and efficient computational algorithms and is written for senior-level undergraduate and graduate students, researchers and engineers in optics, photonics, opto-electronics and electronic engineering.
Описание: Digital images have become mainstream of late notably within HDTV, cell phones, personal cameras, and medical applications. The processing of digital images and video includes adjusting illumination, manufacturing enlargements/reductions, and creating contrast. This book presents an understanding of image and video processing.
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