## 3 Experimental Results
The fulfillment of the selection criterion for the feature-class pair (from the confusion matrices) and also the associated weights for classifiers are highlighted in gray. The last column indicates the class which uses the corresponding feature in their classifier. The features and associated weights for each RoI can be extracted from Table 5. The classifiers from Equation (12)--\(D_{1}\), \(D_{2}\), \(D_{3}\), and \(D_{4}\)--were implemented taking into account the confidence intervals and band associated with the weights and the corresponding RoIs (_OD_, _MA_, _EX_, and _HE_) (Table 6). For the operational phase testing, both MESSIDOR and STARE databases were used (Figure 10). Some results concerning the box classification are given in Figure 11. The boxes classified as _EX_ or _HE_ have undergone a segmentation  
Figure 9: Examples of _CM_ calculations and feature selection. Marked with green are the classes which accept the corresponding feature for the classifier. process (Figure 11, boxes labeled with SB). The results of size evaluation of _EXs_ and _HEs_ are presented in Tables 7 and 8, respectively. Then, by summing the partial areas of _EXs_ (_HEs_) from boxes belonging to the same image, a global evaluation in pixels and percent can be obtained (Table 9). \begin{table}
\begin{tabular}{c c c c c c c} \hline \hline
**Feature/RoI** & **OD/W\({}_{\text{OD}}\)** & **\(MA\)/W\({}_{\text{MA}}\)** & **EX/W\({}_{\text{EX}}\)** & **HE/W\({}_{\text{HE}}\)** & **NR** & **Tr** & **Observations** **RoI for \(W\geq 0.8\)** \\ \hline \(ImR\) & 5 & 5 & 4 & **8/0.8** & 5 & 27 & **HE** \\ \(ImG\) & **8/0.8** & 5 & **8/0.8** & 4 & 5 & 30 & **OD,EX** \\ \(ImB\) & 6 & 4 & 5 & 4 & 5 & 24 & - \\ \(ImH\) & 4 & 4 & 5 & 5 & 4 & 22 & - \\ \(ConR\) & 4 & 5 & 5 & 4 & 5 & 23 & - \\ \(ConG\) & **9/0.9** & **8/0.8** & **9/0.9** & 5 & 4 & 35 & **OD,MA,EX** \\ \(ConB\) & 3 & 4 & 5 & 4 & 4 & 20 & - \\ \(ConH\) & 4 & 5 & 4 & 5 & 6 & 24 & - \\ \(EntR\) & 4 & 4 & 4 & 3 & 4 & 19 & - \\ \(EntG\) & 3 & 3 & 4 & 4 & 5 & 19 & - \\ \(EntB\) & 4 & 5 & 4 & 4 & 3 & 20 & - \\ \(EntH\) & 4 & 4 & 4 & 3 & 3 & 18 & - \\ \(EntR\) & 4 & 5 & 4 & 5 & 5 & 23 & - \\ \(EntG\) & 6 & **8/0.8** & **8/0.8** & 4 & 6 & 32 & **MA,EX** \\ \(EnB\) & 4 & 5 & 4 & 5 & 6 & 24 & - \\ \(EntH\) & 4 & 3 & 4 & 3 & 6 & 20 & - \\ \(HomR\) & 4 & 3 & 3 & 4 & 5 & 19 & - \\ \(HomG\) & 4 & 3 & **8/0.8** & 5 & 5 & 25 & **EX** \\ \(HomB\) & 5 & 3 & 4 & 4 & 4 & 20 & - \\ \(HomH\) & 3 & 4 & 4 & 3 & 4 & 18 & - \\ \(CorR\) & 5 & 4 & 3 & 3 & 6 & 21 & - \\ \(CorG\) & 3 & 3 & 4 & 4 & 5 & 19 & - \\ \(CorB\) & 5 & 4 & 5 & 5 & 3 & 22 & - \\ \(CorH\) & 3 & 4 & 3 & 4 & 4 & 18 & - \\ \(VarR\) & 4 & 3 & 4 & 4 & 5 & 20 & - \\ \(VarG\) & 4 & 5 & 3 & 4 & 7 & 23 & - \\ \(VarB\) & 3 & 4 & 4 & 3 & 5 & 19 & - \\ \(Var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hline \hline \end{tabular}
\end{table} 
Table 5: Results of test for feature selection and their weight establishment. Marked with gray are the classes which accept the corresponding feature for the classifier and the associated weights.