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===C#=== | ===C#=== | ||
====Image Processing Examples ==== | ====Image Processing Examples ==== | ||
<b>Introductions</b> | |||
* [[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]] | * [[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]] | ||
<b>Intermediate</b> | |||
* [[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]] | ||
* [[WPF in CSharp|Windows Presentation Foundation (WPF)]] | |||
* [[WPF in CSharp| | |||
* [[Face detection| Face detection in Csharp]] | * [[Face detection| Face detection in Csharp]] | ||
* [[Pedestrian Detection in CSharp | Pedestrian Detection, Histogram of oriented gradients (HOG)]] | * [[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)]] | ||
* [[Image Stitching in CSharp| Image Stitching]] | |||
* [[Kalman_Filter| Using the Kalman Filter]] | |||
====Computational Geometry Examples ==== | ====Computational Geometry Examples ==== | ||
Revision as of 13:57, 6 March 2012
Tutorial Code
C#
Image Processing Examples
Introductions
Intermediate
- Shape (Triangle, Rectangle, Circle, Line) Detection
- SURF Feature Detector
- Windows Presentation Foundation (WPF)
- Face detection in Csharp
- Pedestrian Detection, Histogram of oriented gradients (HOG)
- Traffic Sign Detection
- License Plate Recognition (LPR), Optical Character Recognition (OCR)
- Image Stitching
- Using the Kalman Filter
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)