Practical Algorithms for Image Analysis by Lawrence O'Gorman ; Michael J. Sammon ; Michael Seul

Practical Algorithms for Image Analysis

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

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Description

In the classic 'cookbook' style of the original, this new edition guides researchers and practitioners through techniques for the digital manipulation and analysis of images, 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 practical description and implementation of the most suitable procedures. Each section treats a single operation, describing typical situations that use the operation, and discusses the algorithm and implementation. Sections start with a 'before' and 'after' pictorial example and a reference listing typical applications, keywords, and related procedures. This new edition includes extra sections on Gabor filtering and threshholding by connectivity, an expanded program listing, and suggested classroom projects. The accompanying CD-ROM features C programs not only as source code for carrying out the procedures, but also as executables with a graphical user interface for Windows and Linux.

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.
Published

21 Aug 2008

Publisher

CAMBRIDGE U.P.

ISBN

9780521884112

Pages

349

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