Subclass Discriminant Analysis of morphological and textural features for HEp-2 staining pattern classification
We propose a HEp-2 classification strategy based on Subclass Discriminant Analysis. Our approach copes well with the high within-class variance of HEp-2 patterns. We investigate the individual and combined contribution of different image attributes. We integrate morphological, global and local textural information. Our approach provides staining pattern classification accuracy of about 90%.
subclass discriminant analysis indirect immunofluorescence fluorescence pattern classification morphological analysis textural analysis