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== Tutorial Code == | == Tutorial Code == | ||
===C#=== | ===C#=== | ||
====Image Processing Examples ==== | |||
* [[Hello World in CSharp|Hello World]] | * [[Hello World in CSharp|Hello World]] | ||
* [[Camera Capture in 7 lines of code]] | * [[Camera Capture in 7 lines of code]] | ||
| Line 16: | Line 17: | ||
* [[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)]] | ||
* [[ | ====Machine Learning Examples ==== | ||
* [[Normal Bayes Classifier in CSharp | Normal Bayes Classifier ]] | |||
* [[K Nearest Neighbors in CSharp | K Nearest Neighbors ]] | * [[K Nearest Neighbors in CSharp | K Nearest Neighbors ]] | ||
* [[SVM (Support Vector Machine) in CSharp | SVM (Support Vector Machine) - thanks to Albert G.]] | |||
* [[Expectation-Maximization in CSharp | Expectation-Maximization ]] | * [[Expectation-Maximization in CSharp | Expectation-Maximization ]] | ||
* [[ANN MLP (Neural Network) in CSharp | ANN MLP (Neural Network) ]] | |||
===C++=== | ===C++=== | ||
Revision as of 03:47, 25 February 2009
User Contributed Code
If you use Emgu CV and would like to contribute, you can post your code here. Please follow the format of Ellipse Fitting example below.
C#
Ellipse Fitting - An Efficient Implementation
Canming 01:57, 6 February 2009 (UTC)
Requires: Emgu CV version: 1.5
Tutorial Code
C#
Image Processing Examples
- Hello World
- Camera Capture in 7 lines of code
- Shape (Triangle, Rectangle, Circle, Line) Detection in CSharp
- SURF feature detector
- Delaunay's Triangulation and Voronoi Diagram
- WPF (Windows Presentation Foundation)
Machine Learning Examples
- Normal Bayes Classifier
- K Nearest Neighbors
- SVM (Support Vector Machine) - thanks to Albert G.
- Expectation-Maximization
- ANN MLP (Neural Network)