© 2012

Introduction to Video and Image Processing

Building Real Systems and Applications


Part of the Undergraduate Topics in Computer Science book series (UTICS)

Table of contents

  1. Front Matter
    Pages I-XI
  2. Thomas B. Moeslund
    Pages 1-5
  3. Thomas B. Moeslund
    Pages 7-24
  4. Thomas B. Moeslund
    Pages 25-42
  5. Thomas B. Moeslund
    Pages 43-70
  6. Thomas B. Moeslund
    Pages 71-89
  7. Thomas B. Moeslund
    Pages 91-101
  8. Thomas B. Moeslund
    Pages 103-115
  9. Thomas B. Moeslund
    Pages 117-128
  10. Thomas B. Moeslund
    Pages 129-139
  11. Thomas B. Moeslund
    Pages 141-153
  12. Thomas B. Moeslund
    Pages 155-167
  13. Thomas B. Moeslund
    Pages 169-176
  14. Thomas B. Moeslund
    Pages 177-185
  15. Back Matter
    Pages 187-227

About this book


In order to build successful video processing systems, it is important to consider not only traditional image processing methods, but also techniques which account for temporal aspects.

This Introduction to Video and Image Processing presents the fundamental concepts and methods in an unique, easy-to-read style which ensures the material is accessible to a wide audience. Exploring more than just the basics of image processing, the text provides a specific focus on the practical design and implementation of real systems for processing video data.

Topics and features:

  • Includes more than 100 exercises, as well as C-code snippets of the key algorithms
  • Equips the reader with a solid foundation for understanding and working with images and video, including basic methods for image manipulation and image analysis
  • Covers topics on image acquisition, color images, point processing, neighborhood processing, morphology, BLOB analysis, segmentation in video, tracking, geometric transformation, and visual effects
  • Requires only a minimal understanding of mathematics
  • Presents two chapters dedicated to applications, in which the different methods are applied in real systems, supported by further application examples at an associated website
  • Provides a guide to defining suitable values for parameters in video and image processing systems, and to conversion between the RGB color representation and the HIS, HSV and YUV/YCbCr color representations

This concise and easy-to-follow textbook/reference is an ideal introduction to the subject for both first-year engineering students and for non-engineering students without a strong mathematical background. Suitable for self-study, professionals outside of the field will also find the work an excellent overview of the basics.


Image Processing Video Processing

Authors and affiliations

  1. 1.Department of Media TechnologyAalborg UniversityAalborgDenmark

About the authors

Dr. Thomas B. Moeslund is an Associate Professor and Head of the Visual Analysis of People Lab at Aalborg University, Denmark, with more than 10 years of experience of teaching image and video processing. He is also co-editor of the Springer title Visual Analysis of Humans: Looking at People.

Bibliographic information

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