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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
Advanced Topics
Wavelets and Multiresolution Processing
Image Pyramids
Gaussian Pyramid
Successive Smoothing and Subsampling
Level Construction
Laplacian Pyramid
Difference of Gaussian Levels
Perfect Reconstruction
Applications in Image Processing
Subband Coding
Frequency Band Decomposition
Quadrature Mirror Filters
Perfect Reconstruction Conditions
Wavelet Transforms
Continuous Wavelet Transform
Mother Wavelet Functions
Scale and Translation Parameters
Discrete Wavelet Transform
Fast Wavelet Transform Algorithm
Filter Bank Implementation
Multiresolution Analysis
Scaling Functions
Wavelet Functions
Orthogonality Conditions
Wavelet Families
Haar Wavelets
Simplest Wavelet Basis
Discontinuous Nature
Daubechies Wavelets
Compact Support
Orthogonality Properties
Biorthogonal Wavelets
Linear Phase Property
Perfect Reconstruction
Feature Extraction
Boundary Descriptors
Chain Codes
4-directional Codes
8-directional Codes
Differential Chain Codes
Polygonal Approximation
Vertex Detection
Approximation Error
Fourier Descriptors
Boundary Representation
Shape Invariance
Curvature
Local Curvature Computation
Curvature Scale Space
Regional Descriptors
Geometric Properties
Area Computation
Perimeter Calculation
Centroid Location
Orientation
Moment Descriptors
Geometric Moments
Central Moments
Normalized Moments
Hu Invariant Moments
Shape Descriptors
Compactness
Eccentricity
Solidity
Texture Descriptors
Statistical Texture Measures
First-order Statistics
Second-order Statistics
Gray-Level Co-occurrence Matrices
GLCM Construction
Haralick Features
Texture Energy and Entropy
Local Binary Patterns
LBP Computation
Rotation Invariant LBP
Uniform Patterns
Gabor Filters
Gabor Function Properties
Multi-scale and Multi-orientation
Texture Classification
Image Registration
Feature-Based Methods
Keypoint Detection
Harris Corner Detector
SIFT Features
SURF Features
ORB Features
Feature Matching
Descriptor Matching
Outlier Rejection
RANSAC Algorithm
Intensity-Based Methods
Similarity Measures
Sum of Squared Differences
Normalized Cross-Correlation
Mutual Information
Optimization Techniques
Gradient Descent
Powell's Method
Genetic Algorithms
Transformation Models
Rigid Transformations
Translation and Rotation
3 Degrees of Freedom
Similarity Transformations
Uniform Scaling Addition
4 Degrees of Freedom
Affine Transformations
Linear Transformations
6 Degrees of Freedom
Projective Transformations
Perspective Transformations
8 Degrees of Freedom
Registration Pipeline
Preprocessing Steps
Feature Detection and Matching
Transformation Estimation
Image Resampling
Quality Assessment
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9. Image Compression
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1. Fundamentals of Digital Images