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Computer Science
Computer Graphics and Visualization
Digital Imaging and Processing
1. Fundamentals of Digital Imaging
2. Image Enhancement in the Spatial Domain
3. Image Enhancement in the Frequency Domain
4. Image Restoration
5. Color Image Processing
6. Image Compression
7. Morphological Image Processing
8. Image Segmentation
9. Feature Extraction and Description
10. Pattern Recognition and Classification
11. Advanced Topics and Applications
Morphological Image Processing
Mathematical Morphology Foundations
Set Theory for Morphology
Sets and Set Operations
Reflection and Translation
Logical Operations on Binary Images
Structuring Elements
Definition and Properties
Common Shapes
Size Selection
Origin and Symmetry
Basic Morphological Operations
Dilation
Definition and Properties
Effects on Binary Images
Geometric Interpretation
Erosion
Definition and Properties
Effects on Binary Images
Relationship to Dilation
Duality Principle
Erosion-Dilation Duality
Complement Relationships
Compound Morphological Operations
Opening
Definition as Erosion followed by Dilation
Shape Smoothing
Small Object Removal
Closing
Definition as Dilation followed by Erosion
Gap Filling
Hole Filling
Properties of Opening and Closing
Idempotent Property
Monotonicity
Duality
Morphological Algorithms
Boundary Extraction
Internal and External Boundaries
Implementation Methods
Region Filling
Hole Filling Algorithm
Connected Component Filling
Connected Component Extraction
Component Labeling
Size Filtering
Convex Hull
Definition and Computation
Thinning and Thickening
Skeleton Extraction
Medial Axis Transform
Hit-or-Miss Transform
Skeletonization
Morphological Skeleton
Skeleton by Maximal Disks
Reconstruction from Skeleton
Pruning
Spurious Branch Removal
Iterative Pruning
Grayscale Morphology
Extension to Grayscale Images
Grayscale Dilation and Erosion
Grayscale Opening and Closing
Top-Hat and Bottom-Hat Transforms
Morphological Gradient
Applications in Image Enhancement
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8. Image Segmentation