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The Simple Medical Imaging Library Interface (SMILI), pronounced 'smilie', is an open-source, light-weight and easy-to-use medical imaging viewer and library for all major operating systems. The main sMILX application features for viewing n-D images, vector images, DICOMs, anonymizing, shape analysis and models/surfaces with easy drag and drop functions. It also features a number of standard processing algorithms for smoothing, thresholding, masking etc. images and models, both with graphical user interfaces and/or via the command-line. ...

itom is an open source software suite for operating measurement systems, laboratory automation and data evaluation. One main application of itom is the development and operation of sensor and measurement system for instance in a laboratory environment. Therefore, the software has to be able to communicate with a wide range of different hardware systems, such as cameras or actuators and should provide a diversified and as complete as possible set of evaluation and data processing methods. ...

amilab is a tool for image processing that includes its own scripting language, and an interface for visualizing 2d/3d images and 3d surfaces. Its main application is medical image processing.

...Targeted algorithms for high resolution optical images (SPOT, Quickbird, Worldview, Landsat, Ikonos), hyperspectral sensors (Hyperion) or SAR (TerraSarX, ERS, Palsar) are available. Orfeo ToolBox has three main access depending on the category of user: write processing chains in C++ using existing filters or creating new ones, use the OTB applications, which is a plugin-based framework allowing to extend high-level processing chains from various environment ( command-line, QT, QGis, Python....) or use Monteverdi, a software for everyday life image manipulation and analysis.

LuaCV is OpenCV library wrapper for Lua language. Main goal is to access fast image processing library to light-weight, non-type language. Thanks to CMake project is a much easier to compile it under many OS platforms which are supported by OpenCV. LuaCV is being developed at faculty of Electrical Engineering and Communication of Brno University of Technology in Czech republic.

Image Processing Library is a complete image processing package. The main features is to support many image formats. By utilizing Object Oriented Programming concept, many image conversion filters are written in a neat, and clear way.