HEp-2 image classification using intensity order pooling based features and bag of words

作者：

Highlights：

• Intensity order pooling based features and bag of words were used for HEp-2 classification.

• The results outperformed winner of the ICPR 2012 contest.

• 100% image level accuracy was achieved on the SZU dataset.

摘要

•Intensity order pooling based features and bag of words were used for HEp-2 classification.•The results outperformed winner of the ICPR 2012 contest.•100% image level accuracy was achieved on the SZU dataset.

论文关键词：HEp-2 cell classification,Intensity order pooling,Bag of words

论文评审过程：Available online 1 October 2013.

论文官网地址：https://doi.org/10.1016/j.patcog.2013.09.020