HEp-2 cell classification using rotation invariant co-occurrence among local binary patterns
We propose an efficient method for HEp-2 cell classification using RIC-LBP. RIC-LBP can provide a high descriptive ability and robustness to local rotation. For global rotation, the classifier is trained with many synthesized training images. Experiments were performed on the MIVIA HEp-2 images dataset. The effectiveness was demonstrated compared with typical state-of-the-art methods.
hep-2 cell classification rotation invariant co-occurrence local binary pattern indirect immunofluorescence