This book is a companion book to the comprehensive text entitled Image Processing, Analysis, and Machine Vision by M. Sonka, V. Hlavac, and R. Boyle. This workbook provides additional material for readers of Sonka and is similarly structured. Written for students, teachers and practitioners to acquire practical understanding in a hands on fashion, this book provides the reader with short-answer questions, problems and selected algorithms from the main text using MATLAB in levels of varying difficulty. These resources can be used as extra practice for students to reinforce the material studied within the main text or can be useful as test materials for teachers. A solutions manual is available for Instructors for the problems within this workbook.
1. Introduction
2. The image, its representations and properties
3. The image, its mathematical and physical background
4. Data structures for image analysis
5. Image pre-processing
6. Segmentation I
7. Segmentation II
8. Shape representation and description
9. Object recognition
10. Image understanding
11. 3D vision, geometry
12. Use of 3D vision
13. Mathematical morphology
14. Image data compression
15. Texture
16. Motion analysis