Open Source C# Image Processing Libraries

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.

The Accord.NET Framework is a .NET machine learning framework combined with audio and image processing libraries completely written in C#. It is a complete framework for building production-grade computer vision, computer audition, signal processing and statistics applications even for commercial use. A comprehensive set of sample applications provide a fast start to get up and running quickly, and extensive documentation and a wiki help fill in the details. The Accord.NET project provides machine learning, statistics, artificial intelligence, computer vision and image processing methods to .NET. It can be used on Microsoft Windows, Xamarin, Unity3D, Windows Store applications, Linux or mobile. After merging with the AForge.NET project, the framework now offers a unified API for learning/training machine learning models that is both easy to use and extensible.

Wienert S, Heim D, Kotani M, Lindequist B, Stenzinger A, Ishii M, Hufnagl P, Beil M, Dietel M, Denkert C, Klauschen F. CognitionMaster: an object-based image analysis framework. Diagn Pathol 2013, 8:34

A set of libraries which includes: - Time schedule library - HTTP communication library - Generic parser library - Image processing library

A .NET library for on-the-fly processing of images. ImageProcessor is a collection of lightweight libraries written in C# that allows you to manipulate images on-the-fly using .NET 4.5+. It consists of two main libraries ImageProcessor, for desktop and application use and ImageProcessor.Web, a dynamic image processing extension built for ASP.NET. It’s lighting fast, extensible, easy to use, comes bundled with some great features and is fully open source. ImageProcessor is free and open source but developing it has taken thousands of hours of my time and a large part of my sanity. If you feel like dropping me a few precious pounds (there’s no obligation) it would go a great way to ensure that I can afford to take the time to continue to improve the library. It's fast, extensible, easy to use, comes bundled with some great features and is fully open source.

ImageSharp carries no native dependencies and can be installed anywhere that supports .NET Standard 2.0+, ImageSharp can be used in device, cloud, and embedded/IoT scenarios. ImageSharp's API is unparalleled for it's ease of use. Designed from the ground up to be flexible and extensible, the library provides API endpoints for common image processing operations and the building blocks to allow for the development of additional operations. Complete support for jpeg, bmp, gif, pbm, png, tga, tiff, and webp with more formats on the way. Supports over 25 different pixel formats. Metadata editing support (IPTC EXIF). Colorspace transforms (RGB/CMYK/Grayscale/CIELab and many more). Over 40 common processing operations. Great performance and memory friendly; work with any dimensions (even hundreds of megapixels). ImageSharp is brimming with features. Common operations are only a few keystrokes away.

ScienceNET is a open source library written in C# which aims to provide a self contained clean .NET framework for neural networks, genetic algorithms, optimization, image processing and for other domains of a computational science.

A C# library for use in image processing and computer vision research.

XIPL is a simple image processing library for Microsoft's XNA Game Studio framework. All image processing routines are coded in HLSL as pixel shaders and executed at amazing speed thanks to the GPU's massive parallel architecture.

A library for the integration of MATLAB inside .NET projects. It provides the fastes access to MATLAB functions for computation and image processing