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Computer Science
Computer Vision
Image Processing
1. Fundamentals of Digital Images
2. Intensity Transformations and Point Operations
3. Spatial Filtering
4. Frequency Domain Processing
5. Image Restoration and Denoising
6. Image Segmentation
7. Morphological Image Processing
8. Color Image Processing
9. Image Compression
10. Advanced Topics
Image Segmentation
Fundamentals of Segmentation
Definition and Objectives
Region Homogeneity
Boundary Detection
Applications of Segmentation
Object Recognition
Medical Image Analysis
Scene Understanding
Segmentation Challenges
Noise Sensitivity
Illumination Variations
Object Occlusion
Detection of Discontinuities
Point Detection
Point Detection Masks
Isolated Point Detection
Threshold Selection
Line Detection
Line Detection Masks
Horizontal Lines
Vertical Lines
Diagonal Lines
Line Strength Measurement
Edge Detection
Edge Models
Step Edge
Ramp Edge
Roof Edge
Ridge Edge
First-Order Methods
Gradient Operators
Sobel Operator
Prewitt Operator
Roberts Operator
Gradient Magnitude and Direction
Non-maximum Suppression
Second-Order Methods
Laplacian of Gaussian
Scale Parameter Selection
Zero-crossing Detection
Difference of Gaussians
Canny Edge Detector
Gaussian Smoothing
Gradient Computation
Non-maximum Suppression
Double Thresholding
Hysteresis Edge Tracking
Thresholding
Global Thresholding
Simple Thresholding
Basic Global Thresholding Algorithm
Threshold Selection Methods
Optimal Global Thresholding
Otsu's Method
Between-class Variance Maximization
Within-class Variance Minimization
Multi-level Thresholding
Entropy-based Methods
Adaptive Thresholding
Local Mean Thresholding
Local Gaussian Thresholding
Variable Window Size
Threshold Surface Fitting
Region-Based Segmentation
Region Growing
Seed Selection Strategies
Manual Seed Selection
Automatic Seed Detection
Growth Criteria
Intensity Similarity
Texture Similarity
Statistical Tests
Stopping Criteria
Region Splitting and Merging
Quadtree Decomposition
Recursive Splitting
Homogeneity Testing
Merging Criteria
Statistical Similarity
Adjacency Requirements
Split-and-Merge Algorithm
Watershed Segmentation
Watershed Algorithm Principles
Topographic Interpretation
Flooding Process
Watershed Lines
Marker-based Watershed
Internal Markers
External Markers
Marker Selection Strategies
Watershed Transform
Distance Transform Preprocessing
Gradient Magnitude Images
Over-segmentation Issues
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5. Image Restoration and Denoising
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7. Morphological Image Processing