Digital Image Processing: An Algorithmic Introduction Using Java (Texts in Computer Science)

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. This Modern, Self-contained Textbook Provides An Accessible Introduction To The Field From The Perspective Of A Practicing Programmer, Supporting A Detailed Presentation Of The Fundamental Concepts And Techniques With Practical Exercises And Fully Worked Out Implementation Examples. This Much-anticipated New Edition Of The Definitive Textbook On Digital Image Processing Has Been Completely Revised And Expanded With New Content And Improved Teaching Material. Topics And Features: Contains New Chapters On Automatic Thresholding, Filters And Edge Detection For Color Images, Edge-preserving Smoothing Filters, Non-rigid Image Matching, And Fourier Shape Descriptors. Includes Exercises At The End Of Every Chapter, And Provides Additional Supplementary Material At An Associated Website. Uses Imagej For All Examples, A Widely Used Open Source Imaging System That Can Run On All Major Platforms And Be Easily Ported To Other Programming Languages. Describes Each Solution In A Stepwise Manner In Mathematical Form, As Abstract Pseudocode Algorithms, And As Complete Java Programs. Presents Suggested Outlines For A One- Or Two-semester Course In The Preface. Advanced Undergraduate And Graduate Students Will Find This Comprehensive And Example-rich Textbook Will Serve As The Ideal Introduction To Digital Image Processing. It Will Also Prove Invaluable To Researchers And Professionals Seeking A Practically Focused Self-study Primer. Digital Images -- Imagej -- Histograms And Image Statistics -- Point Operations -- Filters -- Edges And Contours -- Corner Detection -- Finding Simple Curves: The Hough Transform -- Morphological Filters -- Regions In Binary Images -- Automatic Thresholding -- Color Images -- Color Quantization -- Colorimetric Color Spaces -- Filters For Color Images -- Edge Detection In Color Images -- Edge-preserving Smoothing Filters -- Introduction To Spectral Techniques -- The Discrete Fourier Transform In 2d -- The Discrete Cosine Transform (dct) -- Geometric Operations -- Pixel Interpolation -- Image Matching And Registration -- Non-rigid Image Matching -- Scale-invariant Feature Transform (sift) -- Fourier Shape Descriptors -- Appendix A: Mathematical Symbols And Notation -- Appendix B: Linear Algebra -- Appendix C: Calculus -- Appendix D: Statistical Prerequisites -- Appendix E: Gaussian Filters -- Appendix F: Javanotes. By Wilhelm Burger, Mark J. Burge. Front Matter....Pages i-xxiii Digital Images....Pages 1-21 ImageJ....Pages 23-35 Histograms and Image Statistics....Pages 37-56 Point Operations....Pages 57-88 Filters....Pages 89-119 Edges and Contours....Pages 121-146 Corner Detection....Pages 147-159 Finding Simple Curves: The Hough Transform....Pages 161-180 Morphological Filters....Pages 181-208 Regions in Binary Images....Pages 209-252 Automatic Thresholding....Pages 253-289 Color Images....Pages 291-328 Color Quantization....Pages 329-339 Colorimetric Color Spaces....Pages 341-365 Filters for Color Images....Pages 367-389 Edge Detection in Color Images....Pages 391-411 Edge-Preserving Smoothing Filters....Pages 413-451 Introduction to Spectral Techniques....Pages 453-479 The Discrete Fourier Transform in 2D....Pages 481-501 The Discrete Cosine Transform (DCT)....Pages 503-511 Geometric Operations....Pages 513-538 Pixel Interpolation....Pages 539-563 Image Matching and Registration....Pages 565-585 Non-Rigid Image Matching....Pages 587-608 Scale-Invariant Feature Transform (SIFT)....Pages 609-664 Fourier Shape Descriptors....Pages 665-711 Back Matter....Pages 713-811