Zhang Y. 2D Computer Vision. Principles, Algorithms and Applications 2022

Textbook in PDF format

This special compendium introduces the basic principles, typical methods and practical techniques of 2D computer vision. The volume comprehensively covers the introductory content of computer vision and the materials are selected based on courses conducted in the past 20 years. The useful textbook provides numerous examples and self-test questions (including hints and answers) through intuitive explanations to help readers understand abstract concepts. This unique reference text provides the first computer vision course service for undergraduates of related majors in university and colleges. It also allows teachers to carry out online courses and strengthen teacher-student interaction when teaching.
Preface.
About the Author.
Computer Vision Fundamentals.
2D Image Acquisition.
Spatial Domain Enhancement.
Frequency Domain Enhancement.
Image Restoration.
Color Enhancement.
Image Segmentation.
Primitive Detection.
Object Representation.
Object Description.
Texture Description.
Shape Description-
Object Classification.
Appendix A. Mathematical Morphology.
Appendix B. Visual Constancy.
Answers to Self-Test Questions.
Index