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.Read more
- 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
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- Date Published: November 2010
- format: Paperback
- isbn: 9780521169813
- length: 452 pages
- dimensions: 246 x 189 x 23 mm
- weight: 0.8kg
- availability: Available
Table of Contents
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
10. Consistent labeling
11. Parametric transform
12. Graphs and graph-theoretic concepts
13. Image matching
14. Statistical pattern recognition
16. Syntactic pattern recognition
18. Automatic target recognition.
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