Machine Vision
Machine Vision
November 2010
Paperback
9780521169813
$94.00
USDPaperback
USD
eBook
Providing all the necessary theoretical tools, this comprehensive introduction to machine vision shows how these tools are applied in actual image processing and machine vision systems. A key feature is the inclusion of many programming exercises giving insights into the development of practical image processing algorithms. A CD-ROM containing software and data used in these exercises is also included. Aimed at graduate students in electrical engineering, computer science, and mathematics, the book will be a useful reference for professionals as well.
- Describes essential theoretical background as well as cutting-edge applications
- Includes many programming exercises that give insight into the development of image processing algorithms
- A CD-ROM containing software and data used in the book is provided
Product details
February 2011Adobe eBook Reader
9780511984822
0 pages
0kg
This ISBN is for an eBook version which is distributed on our behalf by a third party.
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Table of Contents
- 1. Introduction
- 2. Review of mathematical principles
- 3. Writing programs to process images
- 4. Images: description and characterization
- 5. Linear operators and kernels
- 6. Image relaxation: restoration and feature extraction
- 7. Mathematical morphology
- 8. Segmentation
- 9. Shape
- 10. Consistent labeling
- 11. Parametric transform
- 12. Graphs and graph-theoretic concepts
- 13. Image matching
- 14. Statistical pattern recognition
- 15. Clustering
- 16. Syntactic pattern recognition
- 17. Applications
- 18. Automatic target recognition.
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Supporting Materials and Errata List
Data files for use with the book
Size: 22.67 MB
Type: application/zip
