Fundamentals of Computer Vision (Hardcover)

Part I. Preliminaries: 1. Computer vision, some definitions, and some history; 2. Writing programs to process images; 3. Review of mathematical principles; 4. Images ? representation and creation; Part II. Preprocessing: 5. Kernel operators; 6. Noise removal; 7. Mathematical morphology; Part III. Image Understanding: 8. Segmentation; 9. Parametric transforms; 10. Representing and matching shape; 11. Representing and matching scenes; Part IV. The 2-D Image in a 3-D World: 12. Relating to three dimensions; 13. Developing computer vision algorithms.