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Statistical Image Processing And Multidimensional Modeling
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Book Synopsis Statistical Image Processing and Multidimensional Modeling: Modelling of random fields by : Paul Fieguth
Download or read book Statistical Image Processing and Multidimensional Modeling: Modelling of random fields written by Paul Fieguth and published by . This book was released on 2011 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Statistical Image Processing and Multidimensional Modeling by : Paul Fieguth
Download or read book Statistical Image Processing and Multidimensional Modeling written by Paul Fieguth and published by Springer Science & Business Media. This book was released on 2010-10-17 with total page 465 pages. Available in PDF, EPUB and Kindle. Book excerpt: Images are all around us! The proliferation of low-cost, high-quality imaging devices has led to an explosion in acquired images. When these images are acquired from a microscope, telescope, satellite, or medical imaging device, there is a statistical image processing task: the inference of something—an artery, a road, a DNA marker, an oil spill—from imagery, possibly noisy, blurry, or incomplete. A great many textbooks have been written on image processing. However this book does not so much focus on images, per se, but rather on spatial data sets, with one or more measurements taken over a two or higher dimensional space, and to which standard image-processing algorithms may not apply. There are many important data analysis methods developed in this text for such statistical image problems. 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). The goal, then, of this text is to address methods for solving multidimensional statistical problems. The text strikes a balance between mathematics and theory on the one hand, versus applications and algorithms on the other, by deliberately developing the basic theory (Part I), the mathematical modeling (Part II), and the algorithmic and numerical methods (Part III) of solving a given problem. The particular emphases of the book include inverse problems, multidimensional modeling, random fields, and hierarchical methods.
Book Synopsis Multidimensional Signal and Color Image Processing Using Lattices by : Eric Dubois
Download or read book Multidimensional Signal and Color Image Processing Using Lattices written by Eric Dubois and published by John Wiley & Sons. This book was released on 2019-03-12 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Innovative Approach to Multidimensional Signals and Systems Theory for Image and Video Processing In this volume, Eric Dubois further develops the theory of multi-D signal processing wherein input and output are vector-value signals. With this framework, he introduces the reader to crucial concepts in signal processing such as continuous- and discrete-domain signals and systems, discrete-domain periodic signals, sampling and reconstruction, light and color, random field models, image representation and more. While most treatments use normalized representations for non-rectangular sampling, this approach obscures much of the geometrical and scale information of the signal. In contrast, Dr. Dubois uses actual units of space-time and frequency. Basis-independent representations appear as much as possible, and the basis is introduced where needed to perform calculations or implementations. Thus, lattice theory is developed from the beginning and rectangular sampling is treated as a special case. This is especially significant in the treatment of color and color image processing and for discrete transform representations based on symmetry groups, including fast computational algorithms. Other features include: An entire chapter on lattices, giving the reader a thorough grounding in the use of lattices in signal processing Extensive treatment of lattices as used to describe discrete-domain signals and signal periodicities Chapters on sampling and reconstruction, random field models, symmetry invariant signals and systems and multidimensional Fourier transformation properties Supplemented throughout with MATLAB examples and accompanying downloadable source code Graduate and doctoral students as well as senior undergraduates and professionals working in signal processing or video/image processing and imaging will appreciate this fresh approach to multidimensional signals and systems theory, both as a thorough introduction to the subject and as inspiration for future research.
Book Synopsis Frontiers in Statistical Quality Control 13 by : Sven Knoth
Download or read book Frontiers in Statistical Quality Control 13 written by Sven Knoth and published by Springer Nature. This book was released on 2021-05-15 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: This contributed book focuses on major aspects of statistical quality control, shares insights into important new developments in the field, and adapts established statistical quality control methods for use in e.g. big data, network analysis and medical applications. The content is divided into two parts, the first of which mainly addresses statistical process control, also known as statistical process monitoring. In turn, the second part explores selected topics in statistical quality control, including measurement uncertainty analysis and data quality. The peer-reviewed contributions gathered here were originally presented at the 13th International Workshop on Intelligent Statistical Quality Control, ISQC 2019, held in Hong Kong on August 12-14, 2019. Taken together, they bridge the gap between theory and practice, making the book of interest to both practitioners and researchers in the field of statistical quality control.
Book Synopsis Multi-Fractal Traffic and Anomaly Detection in Computer Communications by : Ming Li
Download or read book Multi-Fractal Traffic and Anomaly Detection in Computer Communications written by Ming Li and published by CRC Press. This book was released on 2022-12-29 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive theory of mono- and multi-fractal traffic, including the basics of long-range dependent time series and 1/f noise, ergodicity and predictability of traffic, traffic modeling and simulation, stationarity tests of traffic, traffic measurement and the anomaly detection of traffic in communications networks. Proving that mono-fractal LRD time series is ergodic, the book exhibits that LRD traffic is stationary. The author shows that the stationarity of multi-fractal traffic relies on observation time scales, and proposes multi-fractional generalized Cauchy processes and modified multi-fractional Gaussian noise. The book also establishes a set of guidelines for determining the record length of traffic in measurement. Moreover, it presents an approach of traffic simulation, as well as the anomaly detection of traffic under distributed-denial-of service attacks. Scholars and graduates studying network traffic in computer science will find the book beneficial.
Book Synopsis Mathematical Modeling and Simulation of Systems by : Serhiy Shkarlet
Download or read book Mathematical Modeling and Simulation of Systems written by Serhiy Shkarlet and published by Springer Nature. This book was released on 2022-02-23 with total page 489 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains works on mathematical and simulation modeling of processes in various domains: ecology and geographic information systems, IT, industry, and project management. The development of complex multicomponent systems requires an increase in accuracy, efficiency, and adequacy while reducing the cost of their creation. The studies presented in the book are useful to specialists who involved in the development of real events models-analog, management and decision-making models, production models, and software products. Scientists can get acquainted with the latest research in various decisions proposed by leading scholars and identify promising directions for solving complex scientific and practical problems. The chapters of this book contain the contributions presented on the 16th International Scientific-practical Conference, MODS, June 28–July 01, 2021, Chernihiv, Ukraine.
Book Synopsis Image Analysis and Recognition by : Mohamed Kamel
Download or read book Image Analysis and Recognition written by Mohamed Kamel and published by Springer Science & Business Media. This book was released on 2011-06-14 with total page 467 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNCS 6753/6754 constitutes the refereed proceedings of the 8th International Conference on Image and Recognition, ICIAR 2011, held in Burnaby, Canada, in June 2011. The 84 revised full papers presented were carefully reviewed and selected from 147 submissions. The papers are organized in topical sections on image and video processing; feature extraction and pattern recognition; computer vision; color, texture, motion and shape; tracking; biomedical image analysis; biometrics; face recognition; image coding, compression and encryption; and applications.
Book Synopsis Computational and Statistical Methods in Intelligent Systems by : Radek Silhavy
Download or read book Computational and Statistical Methods in Intelligent Systems written by Radek Silhavy and published by Springer. This book was released on 2018-08-29 with total page 399 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents real-world problems and pioneering research in computational statistics, mathematical modeling, artificial intelligence and software engineering in the context of intelligent systems. It gathers the peer-reviewed proceedings of the 2nd Computational Methods in Systems and Software 2018 (CoMeSySo 2018), a conference that broke down traditional barriers by being held online. The goal of the event was to provide an international forum for discussing the latest high-quality research results.
Book Synopsis Wavelets in Functional Data Analysis by : Pedro A. Morettin
Download or read book Wavelets in Functional Data Analysis written by Pedro A. Morettin and published by Springer. This book was released on 2017-11-07 with total page 112 pages. Available in PDF, EPUB and Kindle. Book excerpt: Wavelet-based procedures are key in many areas of statistics, applied mathematics, engineering, and science. This book presents wavelets in functional data analysis, offering a glimpse of problems in which they can be applied, including tumor analysis, functional magnetic resonance and meteorological data. Starting with the Haar wavelet, the authors explore myriad families of wavelets and how they can be used. High-dimensional data visualization (using Andrews' plots), wavelet shrinkage (a simple, yet powerful, procedure for nonparametric models) and a selection of estimation and testing techniques (including a discussion on Stein’s Paradox) make this a highly valuable resource for graduate students and experienced researchers alike.
Book Synopsis Computer Vision in Control Systems-1 by : Margarita N. Favorskaya
Download or read book Computer Vision in Control Systems-1 written by Margarita N. Favorskaya and published by Springer. This book was released on 2014-11-01 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is focused on the recent advances in computer vision methodologies and technical solutions using conventional and intelligent paradigms. The Contributions include: · Morphological Image Analysis for Computer Vision Applications. · Methods for Detecting of Structural Changes in Computer Vision Systems. · Hierarchical Adaptive KL-based Transform: Algorithms and Applications. · Automatic Estimation for Parameters of Image Projective Transforms Based on Object-invariant Cores. · A Way of Energy Analysis for Image and Video Sequence Processing. · Optimal Measurement of Visual Motion Across Spatial and Temporal Scales. · Scene Analysis Using Morphological Mathematics and Fuzzy Logic. · Digital Video Stabilization in Static and Dynamic Scenes. · Implementation of Hadamard Matrices for Image Processing. · A Generalized Criterion of Efficiency for Telecommunication Systems. The book is directed to PhD students, professors, researchers and software developers working in the areas of digital video processing and computer vision technologies.
Book Synopsis Computer Vision Techniques for the Diagnosis of Skin Cancer by : Jacob Scharcanski
Download or read book Computer Vision Techniques for the Diagnosis of Skin Cancer written by Jacob Scharcanski and published by Springer Science & Business Media. This book was released on 2013-09-30 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: The goal of this volume is to summarize the state-of-the-art in the utilization of computer vision techniques in the diagnosis of skin cancer. Malignant melanoma is one of the most rapidly increasing cancers in the world. Early diagnosis is particularly important since melanoma can be cured with a simple excision if detected early. In recent years, dermoscopy has proved valuable in visualizing the morphological structures in pigmented lesions. However, it has also been shown that dermoscopy is difficult to learn and subjective. Newer technologies such as infrared imaging, multispectral imaging, and confocal microscopy, have recently come to the forefront in providing greater diagnostic accuracy. These imaging technologies presented in this book can serve as an adjunct to physicians and provide automated skin cancer screening. Although computerized techniques cannot as yet provide a definitive diagnosis, they can be used to improve biopsy decision-making as well as early melanoma detection, especially for patients with multiple atypical nevi.
Book Synopsis Statistical Image Processing Techniques for Noisy Images by : Phillipe Réfrégier
Download or read book Statistical Image Processing Techniques for Noisy Images written by Phillipe Réfrégier and published by Springer Science & Business Media. This book was released on 2013-11-22 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Developments in Multidimensional Spatial Data Models by : Alias Abdul Rahman
Download or read book Developments in Multidimensional Spatial Data Models written by Alias Abdul Rahman and published by Springer Science & Business Media. This book was released on 2013-04-13 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the latest research developments in geoinformation science, which includes all the sub-disciplines of the subject, such as: geomatic engineering, GIS, remote sensing, digital photogrammetry, digital cartography, etc.
Book Synopsis New Approaches in Intelligent Image Analysis by : Roumen Kountchev
Download or read book New Approaches in Intelligent Image Analysis written by Roumen Kountchev and published by Springer. This book was released on 2016-05-19 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents an Introduction and 11 independent chapters, which are devoted to various new approaches of intelligent image processing and analysis. The book also presents new methods, algorithms and applied systems for intelligent image processing, on the following basic topics: Methods for Hierarchical Image Decomposition; Intelligent Digital Signal Processing and Feature Extraction; Data Clustering and Visualization via Echo State Networks; Clustering of Natural Images in Automatic Image Annotation Systems; Control System for Remote Sensing Image Processing; Tissue Segmentation of MR Brain Images Sequence; Kidney Cysts Segmentation in CT Images; Audio Visual Attention Models in Mobile Robots Navigation; Local Adaptive Image Processing; Learning Techniques for Intelligent Access Control; Resolution Improvement in Acoustic Maps. Each chapter is self-contained with its own references. Some of the chapters are devoted to the theoretical aspects while the others are presenting the practical aspects and the analysis of the modeling of the developed algorithms in different application areas.
Book Synopsis Emerging Topics in Computer Vision and Its Applications by : C. H. Chen
Download or read book Emerging Topics in Computer Vision and Its Applications written by C. H. Chen and published by World Scientific. This book was released on 2012 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gives a comprehensive overview of the most advanced theories, methodologies and applications in computer vision. Particularly, it gives an extensive coverage of 3D and robotic vision problems. Example chapters featured are Fourier methods for 3D surface modeling and analysis, use of constraints for calibration-free 3D Euclidean reconstruction, novel photogeometric methods for capturing static and dynamic objects, performance evaluation of robot localization methods in outdoor terrains, integrating 3D vision with force/tactile sensors, tracking via in-floor sensing, self-calibration of camera networks, etc. Some unique applications of computer vision in marine fishery, biomedical issues, driver assistance, are also highlighted.
Book Synopsis An Introduction to Pattern Recognition and Machine Learning by : Paul Fieguth
Download or read book An Introduction to Pattern Recognition and Machine Learning written by Paul Fieguth and published by Springer Nature. This book was released on 2022-11-09 with total page 481 pages. Available in PDF, EPUB and Kindle. Book excerpt: The domains of Pattern Recognition and Machine Learning have experienced exceptional interest and growth, however the overwhelming number of methods and applications can make the fields seem bewildering. This text offers an accessible and conceptually rich introduction, a solid mathematical development emphasizing simplicity and intuition. Students beginning to explore pattern recognition do not need a suite of mathematically advanced methods or complicated computational libraries to understand and appreciate pattern recognition; rather the fundamental concepts and insights, eminently teachable at the undergraduate level, motivate this text. This book provides methods of analysis that the reader can realistically undertake on their own, supported by real-world examples, case-studies, and worked numerical / computational studies.
Book Synopsis Computer Vision in Control Systems-3 by : Margarita N. Favorskaya
Download or read book Computer Vision in Control Systems-3 written by Margarita N. Favorskaya and published by Springer. This book was released on 2017-10-25 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: The research book is a continuation of the authors’ previous works, which are focused on recent advances in computer vision methodologies and technical solutions using conventional and intelligent paradigms. The book gathers selected contributions addressing aerial and satellite image processing and related fields. Topics covered include novel tensor and wave models, a new comparative morphology scheme, warping compensation in video stabilization, image deblurring based on physical processes of blur impacts, and a rapid and robust core structural verification algorithm for feature extraction in images and videos, among others. All chapters focus on practical implementations. Given the tremendous interest among researchers in the development and applications of computer vision paradigms in the field of business, engineering, medicine, security and aviation, this book offers a timely guide.
