Statistical Image Processing and Multidimensional Modeling

Statistical Image Processing and Multidimensional Modeling

Although temporal image processing is certainly an area of interest, particularly for video sequences, it is important to ... P. Fieguth, Statistical Image Processing and Multidimensional Modeling, Information Science and Statistics, ...

Author: Paul Fieguth

Publisher: Springer Science & Business Media

ISBN: 9781441972941

Category: Mathematics

Page: 454

View: 976

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.
Categories: Mathematics

Introduction to Computational Health Informatics

Introduction to Computational Health Informatics

... and probability and computer science, including image processing, artificial intelligence and data science. ... in the areas of data modeling and multidimensional search, image and multimedia modeling, statistical concepts, ...

Author: Arvind Kumar Bansal

Publisher: CRC Press

ISBN: 9781000761597

Category: Medical

Page: 610

View: 598

This class-tested textbook is designed for a semester-long graduate or senior undergraduate course on Computational Health Informatics. The focus of the book is on computational techniques that are widely used in health data analysis and health informatics and it integrates computer science and clinical perspectives. This book prepares computer science students for careers in computational health informatics and medical data analysis. Features Integrates computer science and clinical perspectives Describes various statistical and artificial intelligence techniques, including machine learning techniques such as clustering of temporal data, regression analysis, neural networks, HMM, decision trees, SVM, and data mining, all of which are techniques used widely used in health-data analysis Describes computational techniques such as multidimensional and multimedia data representation and retrieval, ontology, patient-data deidentification, temporal data analysis, heterogeneous databases, medical image analysis and transmission, biosignal analysis, pervasive healthcare, automated text-analysis, health-vocabulary knowledgebases and medical information-exchange Includes bioinformatics and pharmacokinetics techniques and their applications to vaccine and drug development
Categories: Medical

Mathematical and Statistical Methods in Food Science and Technology

Mathematical and Statistical Methods in Food Science and Technology

Statistical modelling of anthropometric characteristics evaluated on nutritional status 287 • effective rejection of statistically unimportant information (for example errors in measured data) and irrelevant observations; ...

Author: Daniel Granato

Publisher: John Wiley & Sons

ISBN: 9781118433683

Category: Science

Page: 536

View: 505

Mathematical and Statistical Approaches in Food Science and Technology offers an accessible guide to applying statistical and mathematical technologies in the food science field whilst also addressing the theoretical foundations. Using clear examples and case-studies by way of practical illustration, the book is more than just a theoretical guide for non-statisticians, and may therefore be used by scientists, students and food industry professionals at different levels and with varying degrees of statistical skill.
Categories: Science

Intelligent Multidimensional Data Clustering and Analysis

Intelligent Multidimensional Data Clustering and Analysis

Proceedings of the First Information Hiding Workshop. doi:10.1007/3-540-61996-8_42 Smith Laurence Dwight. (1955). Cryptography: The Science of Secret Writing. ... On Advances in Statistical Modeling of Natural Images.

Author: Bhattacharyya, Siddhartha

Publisher: IGI Global

ISBN: 9781522517771

Category: Computers

Page: 450

View: 796

Data mining analysis techniques have undergone significant developments in recent years. This has led to improved uses throughout numerous functions and applications. Intelligent Multidimensional Data Clustering and Analysis is an authoritative reference source for the latest scholarly research on the advantages and challenges presented by the use of cluster analysis techniques. Highlighting theoretical foundations, computing paradigms, and real-world applications, this book is ideally designed for researchers, practitioners, upper-level students, and professionals interested in the latest developments in cluster analysis for large data sets.
Categories: Computers

Workshop on Higher Order Spectral Analysis

Workshop on Higher Order Spectral Analysis

Finally , the image models of Figure 3 were used as the bases for estimating the linear predictor coefficients of a ... series ) and 2 - D ( image ) ARMA Models , " Proc . of Conf . on Information Sciences and Systems , Johns Hopkins ...



ISBN: UCSD:31822003785268

Category: Signal processing

Page: 254

View: 226

Categories: Signal processing

Computational Intelligence for Modelling Control Automation

Computational Intelligence for Modelling  Control   Automation

Intelligent Image Processing, Data Analysis & Information Retrieval Masoud Mohammadian ... Basic problems of creating statistical data base , computer realisation of the system and multidimensional comparative analysis are presented in ...

Author: Masoud Mohammadian

Publisher: IOS Press

ISBN: 9051994753

Category: Computers

Page: 338

View: 741

This edited volume is dedicated to the theory and applications of Computational Intelligence techniques for Intelligent Image Processing, Data Analysis and Information Retrieval. It consists of 52 accepted research papers from the 1999 International Conference on Computational Intelligence for Modeling, Control and Automation - CIMCA'99. The goal of this conference was to provide a medium for the exchange of ideas between theoreticians and practitioners to address the important issues in computational intelligence for modelling, control and automation. The research papers presented in this book cover new techniques and applications in the of Image Processing, Computer Vision, Multimedia Systems, Filtering, Classification, Data Analysis, Prediction, Intelligent Database and Information Retrievals.
Categories: Computers

Information Systems Architecture and Technology Proceedings of 38th International Conference on Information Systems Architecture and Technology ISAT 2017

Information Systems Architecture and Technology  Proceedings of 38th International Conference on Information Systems Architecture and Technology     ISAT 2017

... 2 Institute of Mathematics and Computer Science, Opole University, ul. ... statistical models of amplitude-phase images (APIm) – multidimensional data arrays (semantic models) and statistical correlation analysis methods using the ...

Author: Jerzy Świątek

Publisher: Springer

ISBN: 9783319672298

Category: Technology & Engineering

Page: 376

View: 430

This three-volume set of books presents advances in the development of concepts and techniques in the area of new technologies and contemporary information system architectures. It guides readers through solving specific research and analytical problems to obtain useful knowledge and business value from the data. Each chapter provides an analysis of a specific technical problem, followed by the numerical analysis, simulation and implementation of the solution to the problem. The books constitute the refereed proceedings of the 2017 38th International Conference “Information Systems Architecture and Technology,” or ISAT 2017, held on September 17–19, 2017 in Szklarska Poręba, Poland. The conference was organized by the Computer Science and Management Systems Departments, Faculty of Computer Science and Management, Wroclaw University of Technology, Poland. The papers have been organized into topical parts: Part I— includes discourses on topics including, but not limited to, Artificial Intelligence Methods, Knowledge Discovery and Data Mining, Big Data, Knowledge Discovery and Data Mining, Knowledge Based Management, Internet of Things, Cloud Computing and High Performance Computing, Distributed Computer Systems, Content Delivery Networks, and Service Oriented Computing. Part II—addresses topics including, but not limited to, System Modelling for Control, Recognition and Decision Support, Mathematical Modelling in Computer System Design, Service Oriented Systems and Cloud Computing and Complex Process Modeling. Part III—deals with topics including, but not limited to, Modeling of Manufacturing Processes, Modeling an Investment Decision Process, Management of Innovation, Management of Organization.
Categories: Technology & Engineering

Mathematical Nonlinear Image Processing

Mathematical Nonlinear Image Processing

721–741, 1984. B.D. Ripley, “Statistics, images, and pattern recognition,” Canad. J. Statist., vol. 14, pp. 83–111, 1986. B.D. Ripley, Statistical Inference for Spatial Processes. Cambridge University Press: Cambridge, England, 1988.

Author: Edward R. Dougherty

Publisher: Springer Science & Business Media

ISBN: 9781461531487

Category: Computers

Page: 176

View: 414

Mathematical Nonlinear Image Processing deals with a fast growing research area. The development of the subject springs from two factors: (1) the great expansion of nonlinear methods applied to problems in imaging and vision, and (2) the degree to which nonlinear approaches are both using and fostering new developments in diverse areas of mathematics. Mathematical Nonlinear Image Processing will be of interest to people working in the areas of applied mathematics as well as researchers in computer vision. Mathematical Nonlinear Image Processing is an edited volume of original research. It has also been published as a special issue of the Journal of Mathematical Imaging and Vision. (Volume 2, Issue 2/3).
Categories: Computers

Advanced Information Systems Engineering

Advanced Information Systems Engineering

... data analysis which is closely oriented to the “pure” multidimensional model and implements statistical functions ... domains of image processing and scientific information visualization (e. g. IBM Data Explorer [13] or AVS [14]).

Author: Matthias Jarke

Publisher: Springer Science & Business Media

ISBN: 9783540661573

Category: Computers

Page: 486

View: 662

This book constitutes the refereed proceedings of the 11th International Conference on Advanced Information Systems Engineering, CAiSE'99 held in Heidelberg, Germany in June 1999. The 27 revised full papers presented together with 12 short research papers and two invited contributions were carefully selected from a total of 168 submissions. The papers are organized in topical sections on components, information systems management, method engineering, data warehouses, process modeling, CORBA and distributed information systems, workflow systems, heterogeneous databases, and information systems dynamics.
Categories: Computers

Developments in Multidimensional Spatial Data Models

Developments in Multidimensional Spatial Data Models

Int J Remote Sens 17(5):1075–1081 Haralick RM (1986) Statistical image texture analysis. In: Young TY, Fu K-S (eds) Handbook of pattern recognition and image processing. Academic, Inc., San Diego, pp 247–279 Hay GJ, Castilla G, ...

Author: Alias Abdul Rahman

Publisher: Springer Science & Business Media

ISBN: 9783642363795

Category: Science

Page: 249

View: 431

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.
Categories: Science