Mimas Toolkit 2.1

Mimas Toolkit is a C++ computer vision toolkit.
Mimas Toolkit is a C++ computer vision toolkit. It is easy to use and includes tools for edge detection, corner detection, various filters, optic flow, tracking, blob analysis, Web cam tools for real-time applications, and much more.

Mimas Toolkit project also includes many implementations of traditional algorithms such as Canny. It was developed for GNU/Linux but as the GUI is largely separate, porting to other platforms should be straightforward.

Mimas was originally conceived as a platform for real-time machine vision research. Its aim was and still is to reduce the turnaround time of new research into the application workspace. It is written in C++ and is released in source code form subject to the GNU Lesser General Public License (LGPL).

Mimas has been used to build a number of vision systems including for two European Union sponsored projects, namely MINIMAN (completed in 2002) and MiCRoN (expected to complete in the 3rd quarter of 2005). Mimas is also being used to build a number of customised vision solutions for academia and industry. As such, if you do require a vision-based solution then please contact the authors of this software.

Here are some key features of "Mimas Toolkit":

· generic image class (greylevel and colour)
· low level image processing
· frequency domain processing
· variety of recognition methods
· variety of tracking methods
· active contours
· comprehensive matrix library
· variety of statistical operations
· associative neural network
· multi-layer perceptrons ANN
· image capture
· various example interfaces

Mimas is designed to be platform independent from the ground-up. Hence a user interface is not built-in. Rather Mimas acts as the engine of a vision system. Since it is written in C++, we recommend that you use the GPL-ed version of the cross-platform Qt toolkit or the Mozilla XP toolkit for building user interfaces.

last updated on:
October 30th, 2006, 20:35 GMT
price:
FREE!
developed by:
Mimas Toolkit Team
homepage:
www.shu.ac.uk
license type:
LGPL (GNU Lesser General Public License) 
category:
ROOT \ Science and Engineering \ Image Recognition

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