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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.

Latest News

• 2012-09-16 Emgu.CV-2.4.2 is available in sourceforge. See change log and known issues.
• 2012-05-26 Emgu.CV-2.4.0 is available in sourceforge. This version adds support for iOS and Android. See change log and known issues.
• 2011-08-20 Emgu.CV-2.3.0 is available in sourceforge. See change log and known issues.
• 2011-02-05 Emgu.CV-2.2.1.1150 is available in sourceforge. See change log and known issues.
• 2010-12-15 Emgu.CV-2.2.0.1010 is available in sourceforge. See change log and known issues.
• 2010-04-06 Emgu.CV-2.1.0.0 is available in sourceforge. It is released on the same day as OpenCV 2.1! In this release we have keep up our cross platform promise and release binaries for 64-bit windows, as well as 32 & 64 bit debian package for Unbuntu and 32 bit rpm package for Fedora 12! See change log and known issues.

• 2009-10-25 Emgu.CV-2.0.1.0 is available in sourceforge. Welcome to the first .NET wrapper that is compatible with OpenCV 2.0! See change log and known issues.

• 2009-07-12 Emgu.CV-2.0.0.0 Alpha is available in sourceforge. This version is built with OpenCV SVN 1918 and is not recommend for production environment. See change log and known issues.

• 2009-02-25 Emgu.CV-1.5.0.0 is available in sourceforge. See change log and known issues.

• 2008-11-24 Emgu.CV-1.4.0.0 is available in sourceforge. See change log and known issues.

• 2008-09-02 Emgu.CV-1.3.0.0 is available in sourceforge. See change log.

• 2008-05-24 Emgu.CV-1.2.2.0 is available in sourceforge. See change log.

• 2008-05-10 Emgu CV Discussion Forum is available at http://www.emgu.com/forum

A Comparison of Emgu CV Versions

Name	Emgu CV (Open Source)	Emgu CV (Commercial Optimized)	Emgu CV for iOS (Commercial)	Emgu CV for Android (Beta)
OS	Windows, Linux, Mac OSX	Windows	iOS (iPhone, IPad, IPod Touch)	Android
Supported CPU Architecture	i386, x64	i386, x64	armeabi, armeabi-v7, i386 (Simulator)	armeabi, armeabi-v7a, x86
GPU Processing	$\checkmark$	$\checkmark$	X	X
Machine Learning	$\checkmark$	$\checkmark$	$\checkmark$	$\checkmark$
Tesseract OCR	$\checkmark$	$\checkmark$	$\checkmark$	$\checkmark$
Intel TBB (multi-thread)	X	$\checkmark$	X	X
Intel IPP (high performance)	X	$\checkmark$	X	X
Intel C++ Compiler (fast code)	X	$\checkmark$	X	X
Exception Handling	$\checkmark$	$\checkmark$	$\checkmark$	$\checkmark$
Debugger Visualizer	$\checkmark$	$\checkmark$	X	X
Emgu.CV.UI	$\checkmark$	$\checkmark$	X	X
License	GPL	Commercial License	Commercial License	Commercial License

Advantage of Emgu CV

Cross Platform

Emgu CV is written entirely in C#. The benefit is that it can be compiled in Mono and therefore is able to run on any platform Mono supports, including Linux, Mac OS X, iOS and Android. A lot of efforts has been spend to have a pure C# implementation since the headers have to be ported, compared with managed C++ implementation where header files can simply be included. But it is well worth it if you see Emgu CV running on Fedora 10! Plus it always gives you the comfort knowing that your code is cross-platform.

Cross Language and comes with example code

Emgu CV can be used from several different languages, including C#, VB.NET, C++ and IronPython. On this wiki, we provide examples for all those languages, which are available from the Examples section on Tutorial page. Our Discussion Forum is also available if you have any questions related to your favourite programming language.

Other Advantages

• Image class with Generic Color and Depth
• Automatic garbage collection
• XML Serializable Image
• XML Documentation and intellisense support
• The choice to either use the Image class or direct invoke functions from OpenCV
• Generic operations on image pixels

Architecture Overview

Emgu CV has two layers of wrapper as shown below

• The basic layer (layer 1) contains function, structure and enumeration mappings which directly reflect those in OpenCV.
• The second layer (layer 2) contains classes that mix in advantanges from the .NET world.