Mimas Toolkit is a computer vision toolkit, developed in C++, designed to facilitate computer vision tasks.
The Mimas Toolkit is a powerful computer vision toolkit that is written in C++ and designed to be easy to use. It includes a wide range of tools for edge detection, corner detection, various filters, optic flow, tracking blob analysis, Web cam tools for real-time applications, and much more. One of the standout features of the Mimas Toolkit is its implementation of traditional algorithms like Canny.
Originally conceived as a platform for real-time machine vision research, Mimas aims to reduce the turnaround time of new research into the application workspace. The software is released in source code form subject to the GNU Lesser General Public License (LGPL), and as such, it is highly customizable.
Mimas has been used to build a number of vision systems including for two European Union sponsored projects, namely MINIMAN and MiCRoN. It is also being used to build a number of customized vision solutions for academia and industry. If you require a vision-based solution, the authors of this software can help.
Some of the key features of the Mimas Toolkit include a 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, and various example interfaces.
Mimas is designed to be platform independent from the ground-up. As such, a user interface is not built-in. Rather, Mimas acts as the engine of a vision system. It is highly recommended that users use the GPL-ed version of the cross-platform Qt toolkit or the Mozilla XP toolkit for building user interfaces since Mimas is written in C++.
Originally conceived as a platform for real-time machine vision research, Mimas aims to reduce the turnaround time of new research into the application workspace. The software is released in source code form subject to the GNU Lesser General Public License (LGPL), and as such, it is highly customizable.
Mimas has been used to build a number of vision systems including for two European Union sponsored projects, namely MINIMAN and MiCRoN. It is also being used to build a number of customized vision solutions for academia and industry. If you require a vision-based solution, the authors of this software can help.
Some of the key features of the Mimas Toolkit include a 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, and various example interfaces.
Mimas is designed to be platform independent from the ground-up. As such, a user interface is not built-in. Rather, Mimas acts as the engine of a vision system. It is highly recommended that users use the GPL-ed version of the cross-platform Qt toolkit or the Mozilla XP toolkit for building user interfaces since Mimas is written in C++.
What's New
Version 2.1: N/A