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Computer Science
Computer Vision
Computer Vision
1. Introduction to Computer Vision
2. Digital Image Fundamentals
3. Image Processing and Enhancement
4. Feature Detection and Description
5. Image Segmentation
6. Camera Geometry and 3D Vision
7. Motion Analysis and Video Processing
8. Classical Machine Learning for Vision
9. Deep Learning for Computer Vision
10. Core Vision Tasks with Deep Learning
11. Advanced Computer Vision Topics
12. Implementation and Practical Considerations
13. Ethics and Societal Impact
Image Processing and Enhancement
Point Operations
Intensity Transformations
Linear Transformations
Brightness Adjustment
Contrast Enhancement
Gamma Correction
Histogram Processing
Histogram Analysis
Histogram Equalization
Adaptive Histogram Equalization
Histogram Specification
Thresholding Operations
Global Thresholding
Otsu's Method
Adaptive Thresholding
Multi-level Thresholding
Spatial Filtering
Linear Filtering Fundamentals
Convolution Operation
Kernel Design Principles
Separable Filters
Border Handling Strategies
Smoothing Filters
Box Filter
Gaussian Filter
Gaussian Kernel Properties
Standard Deviation Effects
Weighted Averaging
Sharpening Filters
Laplacian Filter
Unsharp Masking
High-boost Filtering
Non-Linear Filtering
Median Filter
Order Statistics Filters
Bilateral Filter
Edge-Preserving Properties
Spatial and Range Kernels
Frequency Domain Processing
Fourier Transform Theory
1D Fourier Transform
2D Fourier Transform
Discrete Fourier Transform
Fast Fourier Transform
Frequency Domain Analysis
Magnitude Spectrum
Phase Spectrum
Power Spectrum
Frequency Domain Filtering
Low-pass Filtering
High-pass Filtering
Band-pass Filtering
Band-reject Filtering
Ideal vs Practical Filters
Applications of Frequency Analysis
Noise Analysis
Periodic Pattern Detection
Image Compression
Morphological Image Processing
Binary Morphology
Structuring Elements
Dilation Operation
Erosion Operation
Opening Operation
Closing Operation
Advanced Morphological Operations
Hit-or-Miss Transform
Morphological Gradient
Top-hat Transform
Bottom-hat Transform
Grayscale Morphology
Grayscale Dilation and Erosion
Morphological Reconstruction
Applications
Noise Removal
Shape Analysis
Feature Extraction
Image Segmentation
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2. Digital Image Fundamentals
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4. Feature Detection and Description