Image Processing Using Pulse-Coupled Neural Networks

Provides a highly visual, readily accessible introduction to the main events that occur during neural development and their mechanisms Building Brains: An Introduction to Neural Development, 2nd

G-protein-coupled receptors (GPCRs) are believed to be the largest family of membrane proteins involved in signal transduction and cellular responses. They dimerize (form a pair of macromolecules) wit

The concepts of statistical physics and big data play an important role in the evidence-based analysis and interpretation of macroeconomic principles. The techniques of complex networks, big data, and statistical physics are useful to understand theories of economic systems, and the authors have applied these to understand the intricacies of complex macroeconomic problems. Recent research work using tools and techniques of big data, statistical physics, complex networks, and statistical science is covered, and basic graph algorithms and statistical measures of complex networks are described. The application of big data and statistical physics tools to assess price dynamics, inflation, systemic risks, and productivity is discussed. Chapter-end summary and numerical problems are provided to reinforce understanding of concepts.

This third edition provides a concise and generously illustrated survey of the complete field of medical imaging and image computing, explaining the mathematical and physical principles and giving the reader a clear understanding of how images are obtained and interpreted. Medical imaging and image computing are rapidly evolving fields, and this edition has been updated with the latest developments in the field, as well as new images and animations. An introductory chapter on digital image processing is followed by chapters on the imaging modalities: radiography, CT, MRI, nuclear medicine and ultrasound. Each chapter covers the basic physics and interaction with tissue, the image reconstruction process, image quality aspects, modern equipment, clinical applications, and biological effects and safety issues. Subsequent chapters review image computing and visualization for diagnosis and treatment. Engineers, physicists and clinicians at all levels will find this new edition an invaluable

This edition presents the most prominent topics and applications of digital image processing, analysis, and computer graphics in the field of cultural heritage preservation. The text assumes prior kno

This book takes its reader on a journey through Apache Giraph, a popular distributed graph processing platform designed to bring the power of big data processing to graph data. Designed as a step-by-s

This book presents practical optimization techniques used in image processing and computer vision problems. Ill-posed problems are introduced and used as examples to show how each type of problem is r

This book describes the concept and design of the capacitively-coupled chopper technique, which can be used in precision analog amplifiers. Readers will learn to design power-efficient amplifiers empl

As neural data becomes increasingly complex, neuroscientists now require skills in computer programming, statistics, and data analysis. This book teaches practical neural

This SpringerBrief focuses on the coexistence concerns emerging in LTE networks using unlicensed frequency bands. It provides a comprehensive review on LTE networks and their unavoidable need for enha

Driven by the societal needs and improvement in sensor technology and image processing techniques, remote sensing has become an essential tool for understanding the Earth and managing human-Earth inte

This book presents state-of-the-art applications of digital watermarking in audio, speech, image, video, 3D graph, text, software, XML, database and natural language processing. It also presents new a

In this book, Frank Guenther offers a comprehensive, unified account of the neural computations underlying speech production, with an emphasis on speech motor control rat

This book introduces new massively parallelcomputer (MPSoC) architectures called invasive tightly coupled processor arrays. It proposes strategies, architecturedesigns, and programming interfaces for

In this book, Warren Keller reveals the secrets of astro-image processing software PixInsight in a practical and easy to follow manner, allowing the reader to produce stunning astrophotographs from ev

Citrus Fruit Processing offers a thorough examination of citrus-from its physiology and production to its processing, including packaging and by-product processing. Beginning with foundational informa

This book covers the principles of advanced 3D fabrication techniques, stem cells and biomaterials for neural engineering. Renowned contributors cover topics such as neural tissue regeneration, periph

In this book a neural network learning method with type-2 fuzzy weight adjustment is proposed. The mathematical analysis of the proposed learning method architecture and the adaptation of type-2 fuzzy

The result of the first Appalachian Conference on neurodynamics, this volume focuses on processing in biological neural networks. How do brain processes become organized during decision making? That i

The use of lasers in material processing has become a useful method for transforming industrial materials into finished products. The benefits of laser material processing are vast, including increase

Pattern recognition, image processing and computer vision are closely linked areas which have seen enormous progress in the last fifty years. Their applications in our daily life, commerce and industr

This monograph focuses on the use of analysis and processing methods for images from the CorvisR ST tonometer. The presented analysis is associated with the quantitative, repeatable and fully automati

This volume provides an introduction to and overview of the emerging field of interconnected networks which include multilayer or multiplex networks, as well as networks of networks. Such network

Build your first interactive map and build location-aware applications using cutting-edge examples in PythonAbout This BookLearn the full geo-processing workflow using Python with open source packages

Unlike other image formats, SVG can be an interactive part of your web site, integrated in HTML5 markup or created dynamically using JavaScript. It can be styled by CSS to instantly adapt to changes i

Materials Processing: A Unified Approach to Processing of Metals, Ceramics and Polymers teaches students the fundamental principles involved in the processing of engineering materials, specifically me

Dynamic Thinking: A Primer on Dynamic Field Theory introduces the reader to a new approach to understanding cognitive and neural dynamics using the concepts of Dynamic Field Theory (DFT). Dynamic Neur

This thoroughly updated new edition presents state-of-the-art sparse and multiscale image and signal processing. It covers linear multiscale geometric transforms, such as wavelet, ridgelet, or curvelet transforms, and non-linear multiscale transforms based on the median and mathematical morphology operators. Along with an up-to-the-minute description of required computation, it covers the latest results in inverse problem solving and regularization, sparse signal decomposition, blind source separation, in-painting, and compressed sensing. New chapters and sections cover multiscale geometric transforms for three-dimensional data (data cubes), data on the sphere (geo-located data), dictionary learning, and nonnegative matrix factorization. The authors wed theory and practice in examining applications in areas such as astronomy, including recent results from the European Space Agency's Herschel mission, biology, fusion physics, cold dark matter simulation, medical MRI, digital media, and

This book contains a selection of refereed and revised papers of Intelligent Techniques and Applications track, and the Special Track on Intelligent Image Processing and Artificial Vision track origin

The nine stories in My Pulse Is an Earthquake take place in the clutches of grief. Characters struggle to make sense of sudden losses of life, love, and community. From 1970 to the present day, childr

Today's amateur and professional astronomers take images of the stars using affordable digital cameras known as CCD (charge coupled devices). This improved technology has made astrophotography possibl

This book is a comprehensive guide on neural stem cell behavior in health and disease. It will cover the altered behavior of endogenous neural stem cells in neurodegenerative conditions and the prospe

This book is the third in a series based on conferences sponsored by the Metroplex Institute for Neural Dynamics, an interdisciplinary organization of neural network professionals in academia and indu

This book focuses on architecture and implementation of algorithms, specifically on their real-time and causal processing implementation, architectures of FPGA design and parallel processing. It conc

In this book, Alexander Hantzschel presents the benefits of organized networks and provides a first-ever overview of German-Sino business networks. Based on more than 20 expert interviews and research

The subject of Digital Signal Processing (DSP) is enormously complex, involving many concepts, probabilities, and signal processing that are woven together in an intricate manner. To cope with this sc

The 68 papers in this collection cover communication and information technology; the research and design of machines and mechanisms for manufacturing; data, signal and image processing, and computatio

The book is inspired by the second seminar in a cycle connected to the celebrations of the 150th anniversary of the Politecnico di Milano. "Working with the Image Description Processing Prediction" wa

Control of the worlds beats within the dominion pulse After losing his father to Elathan, Brendan and Lizzie are forced to regroup, recover, and come to grips with the immense responsibility

This book introduces a variety of neural network methods for solving differential equations arising in science and engineering. The emphasis is placed on a deep understanding of the neural network tec