Fig. 10.

Optimal number of features (averaged over $n=100$ classification iterations and rounded to the nearest integer) determined by correlation-based feature selection and grid searching for sample classification using subdiffuse ($f_x=1.37{\mathrm{mm}}^{-1}$, $\lambda =490\mathrm{nm}$) reflectance texture metrics.