Digital Image Processing Using MATLAB 1st Edition by Rafael Gonzalez, Rafael Gonzalez, Steven Eddins ISBN 0130085197 9780130085191

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Product details:
ISBN 10: 0130085197 
ISBN 13: 9780130085191
Author: Rafael Gonzalez, Rafael Gonzalez, Steven Eddins

Digital Image Processing Using MATLAB 1st Edition Table of contents:

Part 1: Fundamentals of Digital Image Processing

1. Introduction to Digital Image Processing

   • Basic Concepts in Image Processing
   • Image Representation and Types of Images
   • Digital Image Formation and Sampling

2. Image Processing Using MATLAB

   • Introduction to MATLAB and Its Imaging Toolbox
   • Basic Operations on Images in MATLAB
   • Image Display, Input, and Output

3. Mathematical Foundations of Image Processing

   • Matrix Operations in Image Processing
   • Fourier Transform and Image Filtering
   • Spatial and Frequency Domains

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Part 2: Image Enhancement

4. Image Enhancement in the Spatial Domain

   • Point Operations: Contrast Adjustment and Thresholding
   • Neighborhood Operations: Smoothing and Sharpening Filters
   • Enhancement Through Histogram Processing

5. Image Enhancement in the Frequency Domain

   • Fourier Transform and Filtering Techniques
   • Low-Pass and High-Pass Filtering
   • Frequency Domain Techniques for Noise Removal

6. Color Image Enhancement

   • Color Spaces and Models: RGB, HSV, Lab
   • Color Image Enhancement Techniques
   • Applications in Medical and Remote Sensing Imaging

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Part 3: Image Restoration

7. Image Restoration and Noise Models

   • Noise Models: Gaussian, Salt and Pepper, Speckle
   • Image Degradation and Restoration Techniques
   • Inverse Filtering and Wiener Filtering

8. Restoration of Images Using MATLAB

   • Practical Approaches to Image Restoration
   • MATLAB Functions for Restoration
   • Handling Real-World Imaging Problems

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Part 4: Image Compression

9. Image Compression Techniques

   • Lossy vs. Lossless Compression
   • Huffman Coding and Run-Length Encoding
   • Transform Coding: JPEG and Wavelet Compression

10. Image Compression Using MATLAB

    • MATLAB for Implementing Image Compression Algorithms
    • Real-World Applications and Trade-offs in Compression
    • Evaluation of Compression Performance

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Part 5: Image Segmentation

11. Image Segmentation and Object Detection

    • Thresholding Techniques and Region Growing
    • Edge Detection Methods: Sobel, Canny, Laplacian
    • Watershed Transform and Region-Based Segmentation

12. Morphological Image Processing

    • Basic Morphological Operations: Erosion, Dilation
    • Morphological Filters and Their Applications
    • Advanced Morphological Techniques in Image Segmentation

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Part 6: Feature Extraction and Image Representation

13. Feature Extraction Techniques

    • Edge Detection and Feature Detection Algorithms
    • Corner Detection and Keypoint Matching
    • Histogram of Oriented Gradients (HOG)

14. Image Representation

    • Representation of Shapes, Objects, and Textures
    • Image Descriptors and Their Applications
    • Using MATLAB for Feature Extraction

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Part 7: Image Analysis and Applications

15. Image Analysis Techniques

    • Pattern Recognition in Image Processing
    • Image Classification and Object Recognition
    • Machine Learning in Image Analysis

16. Applications of Image Processing

    • Applications in Medical Imaging: CT, MRI, X-ray
    • Applications in Remote Sensing and Satellite Imaging
    • Industrial Applications: Quality Control, Inspection

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Appendices

• Appendix A: MATLAB Image Processing Toolbox Functions
• Appendix B: Glossary of Terms
• Appendix C: Further Reading and Resources

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