ImFEATbox (Image Feature Extraction and Analyzation Toolbox) is a toolbox for extracting and analyzing features for image processing applications. The provided feature extraction algorithms have been used in context of automated MR image quality assessment, but should be applicable to a variety of image processing tasks not limited to medical imaging.
This work is part of a research project of the Department of Interventional and Diagnostic Radiology, University Hospital of Tuebingen, Germany and the Institute of Signal Processing and System Theory, University of Stuttgart, Germany. For more information visit https://sites.google.com/site/kspaceastronauts/learning/featuretoolbox
This toolbox is regularly being extended, for an up-to-date list of all implemented feature extraction algorithms please view features.pdf
We are happy if you can benefit from our work. You are free to use and modify the codes provided in ImFEATbox for your own research, but please cite the following publication:
ImFEATbox: a toolbox for extraction and analysis of medical image features
Annika Liebgott, Thomas Küstner, Heiko Strohmeier, Tobias Hepp, Philipp Mangold, Petros Martirosian, Fabian Bamberg, Konstantin Nikolaou, Bin Yang and Sergios Gatidis.
In: International Journal of Computer Assisted Radiology and Surgery, Sep 2018. Springer Verlag, ISSN 1861-6429, doi: https://doi.org/10.1007/s11548-018-1859-7