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Emgu.CV.Documentation
A cross platform .Net wrapper for the OpenCV image-processing library. Allows OpenCV functions to be called from .NET compatible languages such as C#, VB, VC++, IronPython. The wrapper can be compiled in Mono and run on Windows, Android, iOS, Windows Phone, Mac OS X and Linux.
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Emgu CV Library Documentation
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VS2013
Emgu CV is a cross platform .Net wrapper to the OpenCV image processing library. Allowing OpenCV functions to be called from .NET compatible languages such as C#, VB, VC++, IronPython etc. The wrapper can be compiled in Mono and run on Windows, Linux, Mac OS X, iPhone, iPad and Android devices.
Root namespace for class and functions implemented by Emgu
Wrapper of OpenCV's image processing functions.
Base functions (L1) can be found in CvInvoke class
Camera calibration related functions
OpenCV Enumeration
Wrapper of OpenCV's Machine Learning Library
OpenCV's Machine Learning enumeration
OpenCV's Machine Learning structures
Code that use reflection to get image information from Emgu CV objects
Wrapped OpenCV structures
User interface (ImageBox) for displaying Image object.
Background/Foreground segmentation and Blob tracking
Contains functions that use reflection to create menu for ImageBox
A collection of utilities used by Emgu projects
Various enumeration for Emgu.Util namespace
Fast Library for Approximate Nearest Neighbors (Marius Muja and David Lowe)
Contains classes for 2D feature detection, extraction and matching.
Contains library that can be use for geomatic transformation.
Contains writer classes that can be used to write different tiff formats, such as tile tiff and geotiff.
A collection of utilities used by Emgu.CV projects
Optical character recognition. Wraps the tesseract-ocr engine.
Contains interface for the CvBlob library
Image stitching
The video stabilization module contains a set of functions and classes that can be used to solve the problem of video stabilization.
Computer vision using OpenCL
NVidia Cuda image processing functions
The module contains algorithms that embed a notion of shape distance. These algorithms may be used for shape matching and retrieval, or shape comparison.
The Super Resolution module contains a set of functions and classes that can be used to solve the problem of resolution enhancement.
The module contains some recently added functionality that has not been stabilized, or functionality that is considered optional.
This module provides different algorithms for text detection and recognition in natural scene images.
Extra 2D Features Framework
Background Segmentation.
ArUco Marker Detection
Deep Neural Network module
Fuzzy image processing
Binary descriptors for lines extracted from an image
This Plot module allows you to easily plot data in 1D or 2D.
Long-term optical tracking API
Extended Image Processing
Additional photo processing algorithms
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