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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.