Introduction to Image Processing and Analysis

Introduction to Image Processing and Analysis
ISBN-10
1420006495
ISBN-13
9781420006490
Category
Technology & Engineering
Pages
376
Language
English
Published
2007-10-31
Publisher
CRC Press
Authors
John C. Russ, J. Christian Russ

Description

Image processing comprises a broad variety of methods that operate on images to produce another image. A unique textbook, Introduction to Image Processing and Analysis establishes the programming involved in image processing and analysis by utilizing skills in C compiler and both Windows and MacOS programming environments. The provided mathematical background illustrates the workings of algorithms and emphasizes the practical reasons for using certain methods, their effects on images, and their appropriate applications. The text concentrates on image processing and measurement and details the implementation of many of the most widely used and most important image processing and analysis algorithms. Homework problems are included in every chapter with solutions available for download from the CRC Press website The chapters work together to combine image processing with image analysis. The book begins with an explanation of familiar pixel array and goes on to describe the use of frequency space. Chapters 1 and 2 deal with the algorithms used in processing steps that are usually accomplished by a combination of measurement and processing operations, as described in chapters 3 and 4. The authors present each concept using a mixture of three mutually supportive tools: a description of the procedure with example images, the relevant mathematical equations behind each concept, and the simple source code (in C), which illustrates basic operations. In particularly, the source code provides a starting point to develop further modifications. Written by John Russ, author of esteemed Image Processing Handbook now in its fifth edition, this book demonstrates functions to improve an image's of features and detail visibility, improve images for printing or transmission, and facilitate subsequent analysis.

Get the book

Amazon.com
Amazon.com
Search the book
eBay.com
eBay.com
Search the book

Other editions

Similar books

  • Remote Sensing Digital Image Analysis: An Introduction
    Remote Sensing Digital Image Analysis: An Introduction
    By John A. Richards

    This new edition presents material that has retained value since those early days, along with new techniques that can be incorporated into an operational framework for the analysis of remote sensing data.

  • Introduction to Image Processing
    Introduction to Image Processing
    By André Marion

    I. The past. the present . . . and the future It is possible to take the view that ever since it began, the "ancient" branch of physics known as Optics has been concerned with process ing images.

  • Introduction to Digital Image Processing
    Introduction to Digital Image Processing
    By William K. Pratt

    A. Albert, Regression and the Moore–Penrose Pseudoinverse, Academic Press, New York, 1972. 23. H. C. Andrews and C. L. Patterson, “Outer Product Expansions and Their Uses in Digital Image Processing,” American Mathematical.

  • Introduction to Image Processing Using R: Learning by Examples
    Introduction to Image Processing Using R: Learning by Examples
    By Alejandro C. Frery, Talita Perciano

    Classification of SAR images using a general and tractable multiplicative model.International journal of remote sensing, 24(18), 3565–3582. Myler, H. R., & Weeks, A. R. (1993). The pocket handbook of image processing algorithms in C.

  • Remote Sensing Digital Image Analysis: An Introduction
    Remote Sensing Digital Image Analysis: An Introduction
    By John A. Richards

    A detailed discussion on transformed divergence will be found in Swain and King (1973). A good introductory discussion on canonical analysis in remote sensing is given in the paper by Jensen and Waltz (1979).

  • Image Processing and Analysis: Variational, PDE, Wavelet, and Stochastic Methods
    Image Processing and Analysis: Variational, PDE, Wavelet, and Stochastic Methods
    By Tony F. Chan, Jianhong

    This book develops the mathematical foundation of modern image processing and low-level computer vision, bridging contemporary mathematics with state-of-the-art methodologies in modern image processing, whilst organizing contemporary ...

  • Image Processing and Data Analysis: The Multiscale Approach
    Image Processing and Data Analysis: The Multiscale Approach
    By Jean-Luc Starck, Fionn D. Murtagh, Albert Bijaoui

    For graduate students and researchers already experienced in image processing and data analysis, this book provides an indispensable guide to a wide range of exciting and original data-analysis techniques.

  • A Concise Introduction to Image Processing using C++
    A Concise Introduction to Image Processing using C++
    By Choi-Hong Lai, Meiqing Wang

    The book presents state-of-the-art image processing methodology, including current industrial practices for image compression, image de-noising methods based on partial differential equations (PDEs), and new image compression methods, such ...

  • Introduction to Video and Image Processing: Building Real Systems and Applications
    Introduction to Video and Image Processing: Building Real Systems and Applications
    By Thomas B. Moeslund

    Convex hull of a BLOB is the minimum convex polygon which contains the BLOB, see Fig. 7.5. It corresponds to placing a rubber band around the BLOB. It can be found in the following manner. From the topmost pixel on the BLOB search to ...

  • The Image Processing Handbook
    The Image Processing Handbook
    By John C. Russ, F. Brent Neal

    (2011) Accurate 3D registration of magnetic resonance images for detecting local changes in cartilage thickness, Journal of Electronic Imaging 20(2):023002. Y. K. Chen-Weigart et al. (2012) 3D morphological evolution of Li-ion battery ...