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Review Material (Brief tutorials on probability, linear algebra, and linear systems for readers of Digital Image Processing (all editions).Labeling Connected Components (Section 2.4.3 of the 1992 ed. of the DIP book).
Relations, Equivalence, and Transitive Closure (Section 2.4.4 of the 1992 ed. of the DIP book).
Mask Processing Using an ALU (Arithmetic/Logic Unit) (Section 2.4.6 of the 1992 ed. of the DIP book).
Imaging Geometry (perspective transformations, camera modeling, camera calibration, and stereo imaging) (Sec. 2.5 of the 1992 ed. of the DIP book).
Basics of Photographic Film (Section 2.6 of the 1992 ed. of the DIP book).
RGB/HSI Convertion Equations (Derivations) (From Section 4.6 of the 1992 ed. of the DIP book).
Basics of Calculus (Visual Calculus: A visual approach to the fundamentals of calculus).
Wavelets (An introduction by Amara Graps ).
Wavelets (An ebook by Charles K. Chui--Contains a Wavelet Toolware).
MATLAB Tutorials (A list of online sites offering MATLAB tutorials).
MATLAB Tutorial on Matrix Manipulation (An intro. on how to manipulate matrices [images] in MATLAB).
Mathematics, Probability, and Related Topics (MathWorld: An excellent resource on math and probability).
Probability (Xycoon: Contains a long list of PDFs, CDFs, and random number generating functions).
Contour Tracing (An animated discussion of contour tracing, including the Moore neighbor tracing algorithm.) Contributed by Ms. Abeer George Ghuneim.
Overview of Image Processing (Introduction by Bryan-Mac-Namee).
Image Processing Overview and Examples (by B. Girod & G. Wetzstein).
Image Processing Fundamentals (I. Young, J. Gerbrands, & L. van Vliet)
MATLAB Array Manipulation Tips and Tricks (Very useful collection of array manipulation approaches). Written by Prof. Peter J. Acklam, University of Oslo.
A Graphical Illustration of Filtering in the Spatial and Frequency Domains.
The Joy of Visual Perception-A Web Book (A comprehensive overview of visual perception, including an index of term definitions). Written by Professor Peter K. Kaiser, York University.
Finding Edges and Lines in Images (Link to John F. Canny's Master's Thesis). This is a large document that takes a while to download.
Fuzzy Image Processing
L. A. Zadeh's Original Papers on Fuzzy Logic (Well written and definitely worth reading).
Algebraic Approach to Image Restoration (Chapter 5 from the 1992 edition of the book).
Image Segmentation and Mathematical Morphology (A short tutorial by Dr. Serge Beucher).
Tutorial Presentation on Mathematical Morphology (A PowerPoint presentation by Prof. John Goutsias of the Johns Hopkins University).
Gaussian Prob. Density Functions: Properties and Error Characterization (by Dr. Maria Isabel Ribeiro, Inst. Superior Tco, Lisboa, Portugal).
cybecollege.com (An interesting site dealing with various aspects of TV and printing technologies, including historical overviews in areas such as TV cameras, principles of color, and other imaging topics of general interest).
All About Pixel Colors (A series of posts by Dr. Steve Eddins that discuss how MATLAB associates matrix values with specific screen pixel colors).
Digital Watermarking (by Melinos Averkiou. Contains MATLAB code))
Basic Principles of CT Scanning (An intuitive introduction to CT scanning.)
CTSim―Computed Tomography Simulator (A well-documented, open source software package available for Unix and Windows.)
Digital Subtraction Angiography (An introductory slide presentation.)
Face Recognition (Link to a web site dedicated to face recognition.)
Image Fusion (A slide tutorial by Dr.-Ing Michael Heizmann.)
Digital Signal Processing (DSP) Tutorial (A good introduction.)
Digital Signal Interpolation Tutorial (A good introduction.)
Algorithms for Recognizing 2-D Shapes (A tutorial by A. Ashbrook & N. A. Thacker)
The Watershed Transform: Strategies for Image Segmentation (Written by Dr. Steve Eddins from the MathWorks).
Matrix Indexing in MATLAB (A good introduction with several examples. Written by Steve Eddins and Loren Shure from the MathWorks).
MATLAB demos (Examples of how to use MATLAB).
MATLAB Image Processing Toolbox demos (Examples of how to use the Image Processing Toolbox).
Introduction to MATLAB (by David Houcque, Northwestern University).
MATLAB documentation (Detailed MATLAB documentation).
Image Processing Toolbox documentation (Detailed documentation on the Toolbox).
Steve Eddins' blog on image processing. Excellent discussion and tutorials on image processing concepts and algorithms, all within the context of MATLAB.
A Survey of Image Registration TechniquesData Clustering (Papers and MATLAB code)
Image Noise (A slide presentation).
Face Hallucination (Theory & Practice--By Liu, Shum, and Freeman).
Image Mosaicing (An Introduction by Sevket Gumustekin).
Image Motion Compensation (A tutorial by E. D. Fasse, Univ. of Arizona).
Generating Synthetic Images (ASteve Eddins showing how to use simple math on pixel and coordinate values to generate synthetic test images.)
On the web
Fingerprint recognition (A short PDF introduction with references).
Formulas for color-space conversions
A gentle introduction to MATLAB
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