Welcome to MCCCS documentation

For an overview and download of the MCCCS scripts please visit the project hompage.

Getting started

The provided mcccs.zip file includes the utility commands for image processing and file conversion, which are included into the mcccs.jar. Preferred machine learning libraries can be individually selected by the user (here, for the application examples, the WEKA library is used). Also example scripts and datasets are included to show the systems main capabilities, within different application examples. Usually, several commands are summarized in a script file which represents a so called pipeline. All commands, included in the mcccs.jar, can be run by using a command-line interface (terminal or shell).

About

• Jean-Michel Pape - Method development, implementation and documentation.

• Dr. Christian Klukas - Supervision of project, method development and implementation - head of group 'Image Analysis' at IPK during the development and from 2010 to April 2015