Here is a list of all topics with brief descriptions:

[detail level 123]

Basic
IO
Configuration
Computer Vision
Calibration
Datacodes
Edge Detection 1D
Edge Detection 2D
Fourier Analysis
Hough Transform
Image Analysis
Image Segmentation
OCR
MultiLayer Perceptron (MLP)
Support-Vector Machines (SVM)
Polarization Analysis
Shape Fitting
Template Matching
Edge based
Normalized Cross-Correlation (NCC)
Unwrap
Conversions
Data Classification
K-Nearest Neighbors (KNN)
Multi-Layer Perceptron (MLP)
Support-Vector Machines (SVM)
Deep Learning
Optical Character Recognition (OCR)
Tesseract
Paddle
EasyOCR
ONNX
Tensors Conversions
Tensors Functions
Geometry
Angle Metrics
Basics
Constructions
Distance Metrics
Features
Fitting
Interpolations
Intersections
Normalizations
Projections
Relations
Spatial Transforms
Histogram
Basics
Data Statistics
Features
Local Transforms
Operations
Relations
Image
Basics
Channel Transforms
Color Space Conversions
Combinators
Drawing
Enhancement
Features
IO
ImageMap
LUT
Local Transforms
Metrics
Morphology
PixelLUT
Pixel Statistics
Point Transforms
Relations
Remapping
Smoothing
Spatial Transforms
Thresholding
Matrix
Basics
Path
Basics
Classification
Combinators
Features
Global Transforms
Intersections
Local Transforms
Metrics
Polygon Features
Polygon Relations
Spatial Transforms
Profile
Basics
Combinators
Features
Local Transforms
Metrics
Point Transforms
Relations
Spatial Transforms
Random
Basics
Generators
Region
Basics
Classification
Combinators
Features
Global Transforms
Metrics
Morphology
Point Transforms
Relations
Smoothing
Spatial Transforms
ShapeRegion
Basics
Features
Morphology
Relations
Spatial Transforms