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====Image Processing Examples ==== | ====Image Processing Examples ==== | ||
* [[Hello World in CSharp|Hello World]] | * [[Hello World in CSharp|Hello World]] | ||
* [[Setting_up_EMGU_C_Sharp| User Guide to EMGU and Accessing Image Data]] | |||
* [[Camera Capture in 7 lines of code]] | * [[Camera Capture in 7 lines of code]] | ||
* [[Shape (Triangle, Rectangle, Circle, Line) Detection in CSharp | Shape (Triangle, Rectangle, Circle, Line) Detection]] | * [[Shape (Triangle, Rectangle, Circle, Line) Detection in CSharp | Shape (Triangle, Rectangle, Circle, Line) Detection]] | ||
* [[SURF feature detector in CSharp|SURF Feature Detector]] | * [[SURF feature detector in CSharp|SURF Feature Detector]] | ||
* [[Planar Subdivision in CSharp|Delaunay's Triangulation and Voronoi Diagram]] | * [[Planar Subdivision in CSharp|Delaunay's Triangulation and Voronoi Diagram]] | ||
* [[WPF in CSharp|WPF (Windows Presentation Foundation)]] | * [[WPF in CSharp|WPF (Windows Presentation Foundation)]] | ||
* [[Face detection| Face detection in Csharp]] | * [[Face detection| Face detection in Csharp]] | ||
* [[Pedestrian Detection in CSharp | Pedestrian Detection, Histogram of oriented gradients (HOG)]] | |||
* [[Traffic Sign Detection in CSharp|Traffic Sign Detection]] | * [[Traffic Sign Detection in CSharp|Traffic Sign Detection]] | ||
* [[License Plate Recognition in CSharp|License Plate Recognition (LPR), Optical Character Recognition (OCR)]] | * [[License Plate Recognition in CSharp|License Plate Recognition (LPR), Optical Character Recognition (OCR)]] | ||
* [[Code Reference]] | |||
====Computational Geometry Examples ==== | |||
* [[Planar Subdivision in CSharp|Delaunay's Triangulation and Voronoi Diagram]] | |||
* [[Convex Hull in CSharp| Convex Hull]] | |||
* [[Ellipse Fitting in CSharp | Ellipse Fitting]] | |||
* [[Minimum Area Rectangle in CSharp | Minimum Area Rectangle]] | |||
* [[Minimum Enclosing Circle in CSharp | Minimum Enclosing Circle]] | |||
====Machine Learning Examples ==== | ====Machine Learning Examples ==== | ||
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* [[SVM (Support Vector Machine) in CSharp | Support Vector Machine (SVM) - thanks to Albert G.]] | * [[SVM (Support Vector Machine) in CSharp | Support Vector Machine (SVM) - thanks to Albert G.]] | ||
* [[Expectation-Maximization in CSharp | Expectation-Maximization (EM)]] | * [[Expectation-Maximization in CSharp | Expectation-Maximization (EM)]] | ||
* [[ANN MLP (Neural Network) in CSharp | Neural Network (ANN MLP) ]] | * [[ANN MLP (Neural Network) in CSharp | Neural Network (ANN MLP) ]] | ||
* [[Mushroom Poisonous Prediction (Decision Tree) in CSharp | Mushroom Poisonous Prediction (Decision Tree) ]] | * [[Mushroom Poisonous Prediction (Decision Tree) in CSharp | Mushroom Poisonous Prediction (Decision Tree) ]] | ||
| Line 27: | Line 35: | ||
* [[Setting up Emgu CV and IronPython]] | * [[Setting up Emgu CV and IronPython]] | ||
* [[Face Detection from IronPython]] | * [[Face Detection from IronPython]] | ||
===VB.NET=== | ===VB.NET=== | ||
* [[Face Detection in VB.NET]] | * [[Face Detection in VB.NET]] | ||
* [[Hello World in VB.NET]] | |||
Latest revision as of 11:33, 23 September 2015
Tutorial Code
C#
Image Processing Examples
- Hello World
- User Guide to EMGU and Accessing Image Data
- Camera Capture in 7 lines of code
- Shape (Triangle, Rectangle, Circle, Line) Detection
- SURF Feature Detector
- Delaunay's Triangulation and Voronoi Diagram
- WPF (Windows Presentation Foundation)
- Face detection in Csharp
- Pedestrian Detection, Histogram of oriented gradients (HOG)
- Traffic Sign Detection
- License Plate Recognition (LPR), Optical Character Recognition (OCR)
- Code Reference
Computational Geometry Examples
- Delaunay's Triangulation and Voronoi Diagram
- Convex Hull
- Ellipse Fitting
- Minimum Area Rectangle
- Minimum Enclosing Circle
Machine Learning Examples
- Normal Bayes Classifier
- K Nearest Neighbors
- Support Vector Machine (SVM) - thanks to Albert G.
- Expectation-Maximization (EM)
- Neural Network (ANN MLP)
- Mushroom Poisonous Prediction (Decision Tree)