Skip to main content
main-content

About this book

This revised and expanded new edition of an internationally successful classic presents an accessible introduction to the key methods in digital image processing for both practitioners and teachers. Emphasis is placed on practical application, presenting precise algorithmic descriptions in an unusually high level of detail, while highlighting direct connections between the mathematical foundations and concrete implementation.
The text is supported by practical examples and carefully constructed chapter-ending exercises drawn from the authors' years of teaching experience, including easily adaptable Java code and completely worked out examples. Source code, test images and additional instructor materials are also provided at an associated website. Digital Image Processing is the definitive textbook for students, researchers, and professionals in search of critical analysis and modern implementations of the most important algorithms in the field, and is also eminently suitable for self-study.

Table of Contents

2016 | OriginalPaper | Chapter

1. Digital Images

Wilhelm Burger, Mark J. Burge

2016 | OriginalPaper | Chapter

2. ImageJ

Wilhelm Burger, Mark J. Burge

2016 | OriginalPaper | Chapter

3. Histograms and Image Statistics

Wilhelm Burger, Mark J. Burge

2016 | OriginalPaper | Chapter

4. Point Operations

Wilhelm Burger, Mark J. Burge

2016 | OriginalPaper | Chapter

5. Filters

Wilhelm Burger, Mark J. Burge

2016 | OriginalPaper | Chapter

6. Edges and Contours

Wilhelm Burger, Mark J. Burge

2016 | OriginalPaper | Chapter

7. Corner Detection

Wilhelm Burger, Mark J. Burge

2016 | OriginalPaper | Chapter

8. Finding Simple Curves: The Hough Transform

Wilhelm Burger, Mark J. Burge

2016 | OriginalPaper | Chapter

9. Morphological Filters

Wilhelm Burger, Mark J. Burge

2016 | OriginalPaper | Chapter

10. Regions in Binary Images

Wilhelm Burger, Mark J. Burge

2016 | OriginalPaper | Chapter

11. Automatic Thresholding

Wilhelm Burger, Mark J. Burge

2016 | OriginalPaper | Chapter

12. Color Images

Wilhelm Burger, Mark J. Burge

2016 | OriginalPaper | Chapter

13. Color Quantization

Wilhelm Burger, Mark J. Burge

2016 | OriginalPaper | Chapter

14. Colorimetric Color Spaces

Wilhelm Burger, Mark J. Burge

2016 | OriginalPaper | Chapter

15. Filters for Color Images

Wilhelm Burger, Mark J. Burge

2016 | OriginalPaper | Chapter

16. Edge Detection in Color Images

Wilhelm Burger, Mark J. Burge

2016 | OriginalPaper | Chapter

17. Edge-Preserving Smoothing Filters

Wilhelm Burger, Mark J. Burge

2016 | OriginalPaper | Chapter

18. Introduction to Spectral Techniques

Wilhelm Burger, Mark J. Burge

2016 | OriginalPaper | Chapter

19. The Discrete Fourier Transform in 2D

Wilhelm Burger, Mark J. Burge

2016 | OriginalPaper | Chapter

20. The Discrete Cosine Transform (DCT)

Wilhelm Burger, Mark J. Burge

2016 | OriginalPaper | Chapter

21. Geometric Operations

Wilhelm Burger, Mark J. Burge

2016 | OriginalPaper | Chapter

22. Pixel Interpolation

Wilhelm Burger, Mark J. Burge

2016 | OriginalPaper | Chapter

23. Image Matching and Registration

Wilhelm Burger, Mark J. Burge

2016 | OriginalPaper | Chapter

24. Non-Rigid Image Matching

Wilhelm Burger, Mark J. Burge

2016 | OriginalPaper | Chapter

25. Scale-Invariant Feature Transform (SIFT)

Wilhelm Burger, Mark J. Burge

2016 | OriginalPaper | Chapter

26. Fourier Shape Descriptors

Wilhelm Burger, Mark J. Burge
Additional information