http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
computational introduction to digital image processing
1 online resource : illustrations (black and white, and colour)
Highly Regarded, Accessible Approach to Image Processing Using Open-Source and Commercial Software A Computational Introduction to Digital Image Processing, Second Edition explores the nature and use of digital images and shows how they can be obtained, stored, and displayed. Taking a strictly elementary perspective, the book only covers topics that involve simple mathematics yet offer a very broad and deep introduction to the discipline.
Introduction; Images and Pictures; What Is Image Processing?; Image Acquisition and Sampling; Images and Digital Images; Some Applications; Image Processing Operations; An Image Processing Task; Types of Digital Images; Image File Sizes; Image Perception Images Files and File Types ; Opening and Viewing Grayscale Images; RGB Images; Indexed Color Images; Numeric Types and Conversions; Image Files and Formats; Programs Image Display ; Introduction; The imshow Function; Bit Planes; Spatial Resolution; Quantization and Dithering; Programs Point Processing ; Introduction; Arithmetic Operations; Histograms; Lookup Tables Neighborhood Processing ; Introduction; Notation; Filtering in MATLAB and Octave; Filtering in Python; Frequencies; Low and High Pass Filters; Gaussian Filters; Edge.
Sharpening; Non-Linear Filters; Edge-Preserving Blurring Filters; Region of Interest Processing; Programs Image Geometry; Interpolation of Data; Image Interpolation; General Interpolation; Enlargement by Spatial Filtering; Scaling Smaller; Rotation; Correcting Image Distortion The Fourier Transform ; Introduction; Background; The One-Dimensional Discrete Fourier Transform; Properties of the One-Dimensional DFT; The Two-Dimensional DFT; Experimenting with Fourier Transforms; Fourier Transforms of Synthetic Images; Filtering in the Frequency Domain; Homomorphic Filtering; Programs Image Restoration; Introduction; Noise; Cleaning Salt and Pepper Noise; Cleaning Gaussian Noise; Removal of Periodic Noise; Inverse; Wiener Filtering Image Segmentation ; Introduction; Thresholding; Applications of Thresholding; Choosing.
An Appropriate Threshold Value; Adaptive Thresholding; Edge Detection; Derivatives and Edges; Second Derivatives; The Canny Edge Detector; Corner Detection; The Hough and Radon Transforms Mathematical Morphology ; Introduction; Basic Ideas; Dilation and Erosion; Opening and Closing; The Hit-or-Miss Transform; Some Morphological Algorithms; A Note on the bwmorph Function in MATLAB and Octave; Grayscale Morphology; Applications of Grayscale Morphology; Programs Image Topology ; Introduction; Neighbors and Adjacency; Paths and Components; Equivalence Relations; Component Labeling; Lookup Tables; Distances and Metrics; Skeletonization; Programs Shapes and Boundaries ; Introduction; Chain Codes and Shape Numbers; Fourier Descriptors Color Processing ; What Is Color?; Color Models; Manipulating Color Images.
; Pseudocoloring; Processing of Color Images; Programs Image Coding and Compression ; Lossless and Lossy Compression; Huffman Coding; Run Length Encoding; Dictionary Coding: LZW Compression; The JPEG Algorithm; Programs Wavelets; Waves and Wavelets; A Simple Wavelet: The Haar Wavelet; Wavelets and Images; The Daubechies Wavelets; Image Compression Using Wavelets; High Pass Filtering Using Wavelets; Denoising Using Wavelets Special Effects ; Polar Coordinates; Ripple Effects; General Distortion Effects; Pixel Effects; Color Images Appendix A: Introduction to MATLAB and Octave; Appendix B: Introduction to Python; Appendix C: The Fast Fourier Transform Bibliography Index Exercises appear at the end of each chapter.
Includes bibliographical references and index.