An Introduction to Digital Image Processing with MATLAB

by McAndrew, Alasdair

• ISBN13: 9780534400118
• ISBN10: 0534400116
• Format: Paperback
• Copyright: 2004-04-07
• Publisher: Course Technology

Summary

1. INTRODUCTION. Images and Pictures. What is Image Processing? Image Acquisition and Sampling. Images and Digital Images. Some Applications. Aspects of Image Processing. An Image Processing Task. Types of Digital Images. Image File Sizes. Image Perception. 2. IMAGES AND MATLAB. Grayscale Images. RGB Images. Indexed Color Images. Data Types and Conversions. Image Files and Formats. 3. IMAGE DISPLAY. Introduction. Basics of Image Display. The inshow Function. Bit Planes. Spatial Resolution. Quantization and Dithering. 4. POINT PROCESSING. Introduction. Arithmetic Operations. Histograms. Lookup Tables. 5. NEIGHBORHOOD PROCESSING. Introduction. Notation. Filtering in MATLAB. Frequencies; Low and High Pass Filters. Guassian Filters. Edge Sharpening. Non-Linear Filters. Region of Interest Processing. 6. IMAGE GEOMETRY. Interpolation of Data. Image Interpolation. General Interpolation. Enlargement by Spatial Filtering. Scaling Smaller. Rotation. An Example: Anamorphosis. 7. THE FOUIER TRANSFORM. Introduction. Background. The One-Dimensional Discrete Fourier Transform. Properties of the One-Dimensional DFT. The Two-Dimensional DFT. Fourier Transforms in MATLAB. Fourier Transforms of Images. Filtering in the Frequency Domain. Homomorphic Filtering. 8. IMAGE RESTORATION. Introduction. Noise. Cleaning Salt and Pepper Noise. Cleaning Gaussian Noise. Removal of Periodic Noise. Inverse Filtering. Wiener Filtering. 9. 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. The Hough Transform. Implementing the Hough Transform in MATLAB. 10. MATHEMATICAL MORPHOLOGY. Introduction. Basic Ideas. Dilation and Erosion. Opening and Closing. The Hit-or-Miss Transform. Some Morphological Algorithms. A Note on MATLAB's bwmorph Function. Grayscale Morphology. Applications of Grayscale Morphology. 11. IMAGE TOPOLOGY. Introduction. Neighbors and Adjacency. Paths and Components. Equivalence Relations. Component Labeling. Lookup Tables. Distances and Metrics. Skeletonization. 12. SHAPES AND BOUNDARIES. Introduction. Chain Codes and Shape Numbers. Fourier Descriptors. 13. COLOR PROCESSING. What is Color? Color Models. Color Images in MATLAB. Pseudocoloring. Processing of Color Images. 14. IMAGE CODING AND COMPRESSION. Lossless and Lossy Compression. Huffman Coding. Run Length Encoding. The JPEG Algorithm. 15. WAVELETS. Waves and Wavelets. A Simple Wavelet: The Haar Wavelet. Wavelets in MATLAB. The Daubechies Wavelets. Image Compression Using Wavelets. High Pass Filtering Using Wavelets. Denoising Using Wavelets. 16. SPECIAL EFFECTS. Polar Coordinates. Ripple Effects. General Distortion Effects. Pixel Effects. Color Images. APPENDICES. Basic Use of MATLAB. The Fast Fourier Transform.

Table of Contents

Introduction

Images and MATLAB

Image Display

Point Processing

Neighborhood Processing

Image Geometry

The Fourier Transform

Image Restoration

Image Segmentation

Mathematical Morphology

Image Topology

Shapes and Boundaries

Color Processing

Image Coding and Compression

Wavelets

Special Effects

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