Books about Image processing (found 8569 titles)

Digital Photography

Microsoft Expression Design for Windows: Visual QuickStart Guide

Built from the ground up for designers by designers, the Expression Design application is a professional illustration and graphic design tool that lets you build compelling elements for both Web and desktop application user interfaces.

In this Visual QuickStart Guide, filled with friendly prose, task-based instruction,  step-by-step explanations, and visual aides, readers will have everything they need to know about the key features of Expression Design right at their fingertips. Expert authors Jeff Carlson and David Blatner walk readers through Expression Design’s easy-to-use professional interface, and guide readers through all the key features. Users will learn how to: create compelling graphic designs and illustrations; apply high-quality effects and filters; bring existing vector-based artwork from other popular graphic tools into Expression Design; export into a wide variety of formats; and use the created elements with Expression Blend. Microsoft Expression Design for Windows Visual QuickStart Guide will have users up and running quickly and building awesome graphic assets in no time!

Handbook of Mathematical Methods in Imaging

"The Handbook of Mathematical Methods in Imaging" provides a comprehensive treatment of the mathematical techniques used in imaging science. The material is grouped into two central themes, namely, Inverse Problems (Algorithmic Reconstruction) and Signal and Image Processing. Each section within the themes covers applications (modeling), mathematics, numerical methods (using a case example) and open questions. Written by experts in the area, the presentation is mathematically rigorous. The entries are cross-referenced for easy navigation through connected topics. Available in both print and electronic forms, the handbook is enhanced by more than 150 illustrations and an extended bibliography. It will benefit students, scientists and researchers in applied mathematics. Engineers and computer scientists working in imaging will also find this handbook useful.

Computational Learning for Adaptive Computer Vision

The goal of computer vision (CV) research is to provide computers with human-like perception capabilities so that they can sense the environment, understand the sensed data, take appropriate actions, and learn from this experience in order to enhance future performance. The field has evolved from the application of classical pattern recognition and image processing methods to advanced techniques in image understanding, like model-based and knowledge-based vision.

In recent years, there has been an increased demand for computer vision systems to address "real-world" applications, such as navigation, target recognition, manufacturing, photointerpretation, remote sensing, etc. This unique monograph details the way machine learning, a field concerned with the temporal improvement of computer algorithms and systems, can help create robust, flexible vision techniques for optimal functioning in real-world scenarios. Enriched by many concrete examples and illustrations, it is an indispensable reference for industry engineers and academics working in machine vision and AI.

Neural Based Orthogonal Data Fitting: The EXIN Neural Networks (Adaptive and Learning Systems for Signal Processing, Communications and Control Series)

Written by three leaders in the field of neural based algorithms, Neural Based Orthogonal Data Fitting proposes several neural networks, all endowed with a complete theory which not only explains their behavior, but also compares them with the existing neural and traditional algorithms. The algorithms are studied from different points of view, including: as a differential geometry problem, as a dynamic problem, as a stochastic problem, and as a numerical problem. All algorithms have also been analyzed on real time problems (large dimensional data matrices) and have shown accurate solutions. Where most books on the subject are dedicated to PCA (principal component analysis) and consider MCA (minor component analysis) as simply a consequence, this is the fist book to start from the MCA problem and arrive at important conclusions about the PCA problem.

Encyclopedic Dictionary of Signal and Image Processing

Advances in signal processing techniques have been fundamental to many technological developments in communications, medicine, consumer electronics and defence. A consequence of this has been a virtual explosion of terminology describing signal processing methods and implementations. This reference gives a comprehensive treatment of the theory and practice of signal processing (digital and analogue). Arranged alphabetically, entries include short, dictionary type definitions and longer encyclopaedic articles.
* A definitive source of accurate and concise information on modern signal processing terminology
* Comprehensively covers all applications areas - communications, seismic, biomedical, rdar / sonar multimedia, VLSI and industrial technology (including hardware and software issues)
* Structured to allow rapid access to essential information with extensive cross references, cross-referred blind entries, indexes, literature, software and internet references and bibliography
* Features contributions from 12 international authorities in signal processing
* Includes all topics covered in the Editors Information Classification Scheme of the IEEE Transactions in Signal Processing

Applied Medical Image Processing: A Basic Course

Using real medical images and techniques, this book provides a practical introduction to medical image processing. The author combines clearly written textual explanations with numerous tables, diagrams, and figures as well as illustrative examples and exercises using MATLAB^® and Octave. The accompanying CD contains sample images and files that can be used with either program. Topics discussed include image representation, operations in intensity space, simple segmentation methods, filtering and transformation, signal representation in the Fourier domain, spatial transforms, visualization techniques, image fusion, and tomographic volume reconstruction.

Machine Vision Beyond Visible Spectrum (Augmented Vision and Reality)

The material of this book encompasses many disciplines, including visible,

infrared, far infrared, millimeter wave, microwave, radar, synthetic aperture radar, and

electro-optical sensors as well as the very dynamic topics of image processing, computer

vision and pattern recognition.

This book is composed of six parts:

* Advanced background modeling for surveillance

* Advances in Tracking in Infrared imagery

* Methods for Pose estimation in Ultrasound and LWIR imagery

* Recognition in multi-spectral and synthetic aperture radar

* Fusion of disparate sensors

* Smart Sensors

Principles of Digital Image Processing: Advanced Methods (Undergraduate Topics in Computer Science)

This easy-to-follow textbook is the third of 3 volumes which provide a modern, algorithmic introduction to digital image processing, designed to be used both by learners desiring a firm foundation on which to build, and practitioners in search of critical analysis and modern implementations of the most important techniques.

The reader-friendly text builds on the contents of the previous volumes, presenting additional advanced methods, including those for performing dynamic point operations, non-linear edge-preserving filters and filters for color images, advanced edge detection operators, local feature extraction, curve fitting, etc. This volume continues to provide readers with proven concepts, offering a selection of advanced standard techniques and recent methods that are widely used in research and practical applications.

This reader-friendly text will equip undergraduates with a deeper understanding of the topic as well as being valuable for further developing knowledge for self-study.

Image Acquisition and Processing with LabVIEW, Second Edition (Image Processing Series)

Image Acquisition and Processing with LabVIEW provides a comprehensive IMAQ and Vision resource, combining tutorials with imaging related utilities. This second edition presents instructions on using robust technologies that were only emerging when the first edition was published. Offering in-depth coverage of LabVIEW, this book features three complete application frameworks of image processing, machine vision, and video analysis, with step by step training on their uses and modifications. The text also includes a CD-ROM with example code and demonstration versions of LabVIEW and NI Vision software. New chapters address microscopic and macroscopic processing as well as video acquisition.

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