## 3 Results
### Results
#### 3.2.4 KTH-TIPS2b Database  
Table 7 shows the classification results of our method applied to the KTH-TIPS2b database (\(1188\times 4\) images). In each test, all the images from one sample were used for training, while the images from the remaining three samples were used as a test set. The first column shows the best results reached by our method, and the second column shows the results after the post-processing stage.  
\begin{table}
\begin{tabular}{c c c} \hline \hline
**Paper** & **Method** & **Result** \\ \hline [PERSON] et al., 2004 [9] & Multispectral & 94.9\% \\ [PERSON] et al., 2004 [27] & Color histogram HSV163 & 95.4\% \\ [PERSON] et al., 2011 [11] & Gabor and chromatic features & 90.0\% \\ [PERSON] et al., 2011 [28] & HILS color space B = 16 & 94.5\% \\ [PERSON] et al., 2013 [4] & Color filter array - chromatic & 94.41\% \\ [PERSON] et al., 2013 [4] & Chromatic co-occurrence matrices & 94.85\% \\ [PERSON] et al., 2016 [8] & three-dimensional adaptive sum and difference histograms (3D-ASDH) & 95.8\% \\ [PERSON] el al, 2017 [50] & Deterministic walks direction histogram & 97.28\% \\ [PERSON] et al., 2018 [23] & Smoothed morphological operators & 86.47\% \\ [PERSON] et al., 2017 [30] & Parallel vectors & 90.6\% \\ Global–local Haralick BOMP method 1 & & 90.78\% \\ KNN global–local Haralick BOMP method + post-processing 1 & 96.72\% \\ Global–local Haralick BOMP method + post-processing 1 & 98.97\% \\ \hline \hline \end{tabular}  
* 1; 1 the last three methods are our results.  
\end{table}
Table 6: Best results of global–local Haralick–BOMP classification for the Outex database with 68 images. The best previously published results are compared to our results.  
\begin{table}
\begin{tabular}{c c c c c c c} \hline \hline \multicolumn{6}{c}{**\(\mathbf{r\times n^{2}}\) Random Images 1 in Training**} \\ \hline \multicolumn{6}{c}{**Without Post-Processing**} & \multicolumn{3}{c}{**With Post-Processing**} \\ \hline  & r = 2 & r = 3 & r = 4 & r = 2 & r = 3 & r = 4 \\ n = 5 & 87.43\% & 86.46\% & 85.40\% & 97.50\% & 97.79\% & 97.79\% \\ n = 6 & 88.49\% & 86.72\% & 85.72\% & 97.50\% & 98.08\% & 98.08\% \\ n = 7 & 88.84\% & 86.37\% & 86.15\% & 97.94\% & 97.50\% & 98.08\% \\ n = 8 & 99.19\% & 87.44\% & 86.27\% & 98.23\% & 97.79\% & 98.38\% \\ n = 9 & 89.38\% & 87.73\% & 86.51\% & 98.67\% & 97.79\% & 98.23\% \\ n = 10 & 89.61\% & 87.96\% & 86.62\% & 97.94\% & 98.23\% & 97.94\% \\ n = 11 & 90.12\% & 88.20\% & 86.85\% & 97.94\% & 98.23\% & 97.94\% \\ n = 12 & 90.35\% & 88.37\% & 87.04\% & 98.97\% & 97.94\% & 98.52\% \\ n = 13 & 90.52\% & 88.50\% & 87.22\% & 98.82\% & 98.38\% & 97.05\% \\ n = 14 & 90.58\% & 88.21\% & 87.38\% & 98.67\% & 97.20\% & 97.20\% \\ n = 15 & 90.78\% & 88.06\% & 86.53\% & 98.67\% & 97.79\% & 96.32\% \\ n = 16 & 90.19\% & 86.92\% & 86.24\% & 97.94\% & 96.62\% & 96.03\% \\ n = 17 & 89.98\% & 86.02\% & 85.10\% & 97.50\% & 96.32\% & 95.44\% \\ n = 18 & 90.18\% & 85.54\% & 84.16\% & 97.64\% & 95.59\% & 94.85\% \\ \hline \hline \end{tabular}  
* 1 n is the number of images per side in the training stage; r is the times we iterate the method in each image.  
\end{table}
Table 5: Classification results of the experiment on the Outex database for the set of 68 images. The best results reached with and without post-processing are highlighted by bold text.  
Table 8 compares the results published previously in the literature and our results for the KTH-TIPS2b database with \(1188\times 4\) images. It can be observed in Table 8 that our post-processing method reached the highest results with 95.75%.