In this paper, we present the approach that we applied to the medical modality classification
tasks at the ImageCLEF evaluation forum. More specifically, we used the modality
classification databases from the ImageCLEF competitions in 2011, 2012 and 2013,
described by four visual and one textual types of features, and combinations thereof. We
used local binary patterns, color and edge directivity descriptors, fuzzy color and texture
histogram and scale-invariant feature transform (and its variant opponentSIFT) as visual …