Practical Algorithms for Image Analysis with CD-ROM / Edition 2

Practical Algorithms for Image Analysis with CD-ROM / Edition 2

by Lawrence O'Gorman, Michael J. Sammon, Michael Seul
     
 

ISBN-10: 052188411X

ISBN-13: 9780521884112

Pub. Date: 01/21/2008

Publisher: Cambridge University Press

In classic "cookbook style,” this book offers guided access for researchers and practitioners to techniques for the digital manipulation and analysis of images, ranging from the simplest steps to advanced functions. Drawing on their long experience as users and developers of image analysis algorithms and software, the authors present a description and

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Overview

In classic "cookbook style,” this book offers guided access for researchers and practitioners to techniques for the digital manipulation and analysis of images, ranging from the simplest steps to advanced functions. Drawing on their long experience as users and developers of image analysis algorithms and software, the authors present a description and implementation of the most suitable procedures in easy-to-use form. Each self-contained section treats a single operation, describing typical situations requiring that operation and discussing the algorithm and implementation. Sections start with a "before" and "after" pictorial example and a ready-reference listing typical applications, keywords, and related procedures. This new edition has additional sections on Gabor filtering and on threshholding by connectivity, plus an expanded program listing and suggested projects for classroom use. And now the accompanying CD-ROM contains C programs not only as source code for carrying out the book's procedures but also as executables with a graphical user interface for Windows and Linux.

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Product Details

ISBN-13:
9780521884112
Publisher:
Cambridge University Press
Publication date:
01/21/2008
Edition description:
New Edition
Pages:
360
Product dimensions:
6.97(w) x 9.96(h) x 0.94(d)

Table of Contents

1. Introduction; 2. Global image analysis; 3. Gray-scale image analysis; 4. Binary image analysis; 5. Analysis of lines and line patterns; 6. Analysis of point patterns; 7. Frequency domain; 8. Program descriptions; 9. Projects; Appendix: synopsis of important concepts.

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