Image Processing--Continuous to Discrete: Geometric, Transform, and Statistical Methods

Science & Math

Dougherty, Edward R.

Giardina, Charles R.

Physics

PRENTICE/HALL

"Here in one single volume, are the essential mathematical methods and models important to the design of intelligent systems - presented within the framework of practical examples and applications." "Full coverage is given to parallel computation, knowledge representations, the representation of data, sensors, rules of inference, image recognition, modeling and the algebraic structure of algorithms..." - From the back cover.

Mathematical Methods for Artificial Intelligence and Autonomous Systems

Computers & Technology

Computer Science

Matrix Structured Image Processing

Morphological Methods in Image and Signal Processing

Graphics & Design

Written to accomplish 5 basic goals: focus on contemporary applications, maintain a respectable mathematical level, provide a solid probabilistic framework, give a wide cross section of statistical techniques, and use examples that illustrate models and experimental situations relevant to the audience. Suitable for students with a standard undergraduate calculus background.

Probability and Statistics for the Engineering, Computing and Physical Sciences

Mathematics

Genomic signal processing (GSP) can be defined as the analysis, processing, and use of genomic signals to gain biological knowledge, and the translation of that knowledge into systems-based applications that can be used to diagnose and treat genetic diseases. Situated at the crossroads of engineering, biology, mathematics, statistics, and computer science, GSP requires the development of both nonlinear dynamical models that adequately represent genomic regulation, and diagnostic and therapeutic tools based on these models. This book facilitates these developments by providing rigorous mathematical definitions and propositions for the main elements of GSP and by paying attention to the validity of models relative to the data. Ilya Shmulevich and Edward Dougherty cover real-world situations and explain their mathematical modeling in relation to systems biology and systems medicine.
 Genomic Signal Processing makes a major contribution to computational biology, systems biology, and translational genomics by providing a self-contained explanation of the fundamental mathematical issues facing researchers in four areas: classification, clustering, network modeling, and network intervention.

Genomic Signal Processing (Princeton Series in Applied Mathematics)

Shmulevich, Ilya

Evolution

Princeton University Press

"This book gives readers an intuitive appreciation for random functions, plus theory and processes necessary for sophisticated applications. It covers probability theory, random processes, canonical representation, optimal filtering, and random models. Second in the SPIE/IEEE Series on Imaging Science &amp; Engineering. It also presents theory along with applications, to help readers intuitively appreciate random functions. Included are special cases in which probabilistic insight is more readily achievable. When provided, proofs are in the main body of the text and clearly delineated; sometimes they are either not provided or outlines of conceptual arguments are given. The intent is to state theorems carefully and to draw clear distinctions between rigorous mathematical arguments and heuristic explanations. When a proof can be given at a mathematical level commensurate with the text and when it enhances conceptual understanding, it is usually provided; in other cases, the effort is to explain subtleties of the definitions and properties concerning random functions, and to state conditions under which a proposition applies. Attention is drawn to the differences between deterministic concepts and their random counterparts, for instance, in the mean-square calculus, orthonormal representation, and linear filtering. Such differences are sometimes glossed over in method books; however, lack of differentiation between random and deterministic analysis can lead to misinterpretation of experimental results and misuse of techniques. The author's motivation for the book comes from his experience in teaching graduate-level image processing and having to end up teaching random processes. Even students who have taken a course on random processes have often done so in the context of linear operators on signals. This approach is inadequate for image processing. Nonlinear operators play a widening role in image processing, and the spatial nature of imaging makes it significantly different from one-dimensional signal processing. Moreover, students who have some background in stochastic processes often lack a unified view in terms of canonical representation and orthogonal projections in inner product spaces."

Random Processes for Image Signal Processing

Wiley-IEEE Press

"This text covers key mathematical principles and algorithms for nonlinear filters used in image processing. Readers will gain an in-depth understanding of the underlying mathematical and filter design methodologies needed to construct and use nonlinear filters in a variety of applications. The 11 chapters explore topics of contemporary interest as well as fundamentals drawn from nonlinear filtering's historical roots in mathematical morphology and digital signal processing. This book examines various filter options and the types of applications for which they are best suited. The presentation is rigorous, yet accessible to engineers with a solid background in mathematics."

Nonlinear Filters for Image Processing (SPIE/IEEE Series on Imaging Science & Engineering)

Engineering & Transportation

Astola, Jaakko

Engineering

"An invaluable source for both imaging and software engineers, this practical guide thoroughly covers information in real-time systems, imaging, optimization, algorithms and hardware for image processing. You'll gain a comprehensive knowledge of the structure, computation, and application of the fundamental algorithms necessary to get the most out of your imaging technology. 
Topics covered include: <ul>
<li>Basic hardware architecture</li> <li>Linear and non-linear image processing algorithms</li> <li>Efficient algorithms</li> <li>Optimization techniques</li> <li>Programming languages</li> <li>Hardware architectures</li> <li>Choosing a processor, and more!"</li> </ul>

Introduction to Real-Time Imaging (IEEE Press Understanding Science & Technology Series)

Laplante, Phillip A.

Networking & Cloud Computing

SPIE Publications

Proceedings of SPIE present the original research papers presented at SPIE conferences and other high-quality conferences in the broad-ranging fields of optics and photonics. These books provide prompt access to the latest innovations in research and technology in their respective fields. Proceedings of SPIE are among the most cited references in patent literature.

Image Processing: Algorithms And Systems Iii

Software

Society of Photo Optical

See the best price to sell, buy, or rent books by Dougherty, Edward R.. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Dougherty, Edward R.