Digital Image Processing

1. Introduction to Digital Image Processing

• 1.1 Analog vs Digital Images
  • Definition and characteristics
  • Advantages of digital images
• 1.2 Image Representation
  • Pixels and resolution
  • Image types (binary, grayscale, color)
• 1.3 Components of Digital Image Processing Systems
  • Image acquisition
  • Storage and retrieval
  • Processing and display

2. Image Enhancement Techniques

• 2.1 Contrast Enhancement
  • Contrast stretching
  • Intensity transformations
• 2.2 Histogram Equalization
  • Histogram concepts
  • Global and adaptive methods
• 2.3 Spatial Domain Methods
  • Point processing
  • Neighborhood processing
• 2.4 Frequency Domain Methods
  • Fourier Transform basics
  • Filtering in frequency domain

3. Image Filtering and Restoration

• 3.1 Image Filters
  • Linear filters: averaging, Gaussian
  • Non-linear filters: median, adaptive filters
• 3.2 Smoothing Filters
  • Noise reduction techniques
• 3.3 Sharpening Filters
  • Edge enhancement
• 3.4 Image Restoration Techniques
  • Noise modeling
  • Inverse filtering
  • Wiener filtering

4. Image Segmentation

• 4.1 Thresholding Techniques
  • Global and adaptive thresholding
• 4.2 Edge-Based Segmentation
  • Gradient operators
  • Edge linking and boundary detection
• 4.3 Region-Based Segmentation
  • Region growing
  • Region splitting and merging
• 4.4 Clustering Techniques
  • K-means clustering
  • Fuzzy clustering

5. Feature Extraction and Object Recognition

• 5.1 Feature Types
  • Corners, edges, textures
• 5.2 Feature Extraction Methods
  • Harris corner detector
  • SIFT and SURF (overview)
• 5.3 Object Recognition and Classification
  • Pattern recognition basics
  • Template matching
  • Machine learning approaches

6. Morphological Image Processing

• 6.1 Morphological Operations
  • Dilation
  • Erosion
  • Opening
  • Closing
• 6.2 Applications
  • Noise removal
  • Image segmentation
  • Shape analysis

7. Image Compression Techniques

• 7.1 Fundamentals of Compression
  • Lossless vs lossy compression
• 7.2 Popular Algorithms
  • JPEG (Discrete Cosine Transform based)
  • PNG (lossless compression)
  • GIF (palette-based compression)
• 7.3 Trade-offs
  • Compression ratio vs image quality

8. Color Image Processing

• 8.1 Color Models
  • RGB, CMYK
  • HSI (Hue, Saturation, Intensity)
  • YUV
• 8.2 Processing Techniques
  • Color enhancement
  • Color segmentation
  • Color space transformations

9. Medical Image Processing

• 9.1 Medical Imaging Modalities
  • X-ray, MRI, CT, Ultrasound
• 9.2 Enhancement Techniques for Medical Images
• 9.3 Segmentation and Registration in Medical Imaging
• 9.4 Applications
  • Disease diagnosis
  • Treatment planning

10. Image Processing Applications

• 10.1 Satellite Imaging and Remote Sensing
• 10.2 Facial Recognition Systems
• 10.3 Autonomous Vehicles
• 10.4 Forensic Analysis
• 10.5 Multimedia Systems