Fig. 4.

Comparison of different features without including the classification confidence estimation. Classification is obtained with SVM. (a) Boxplots of class-specific recall (${\mathrm{rec}}_{\mathrm{class}}$) for different features. ${\mathrm{stat}}_1$, intensity mean, variance, entropy; $F_{\mathrm{GLCM}}$, GLCM-based descriptors; and $H_{{\mathrm{LBP}}_{\mathrm{riu}2}}$, histogram of rotation-invariant uniform LBPs. The stars indicate significant differences (Wilcoxon test, $\alpha =0.05$). (b) Normalized confusion matrix for $H_{{\mathrm{LBP}}_{\mathrm{riu}2}}+{\mathrm{stat}}_1$. The colorbar indicates the number of patches. The total number of patches (no. of patches) is reported.