numerical evaluation measures. Figure \[fig:ccp\_res\](Middle) compares the recall vs precision curves of all the methods. Figure \[fig:ccp\_res\](Bottom) reports the confusion matrix and the tier image of edgeLBP and the meshLBP runs.

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                  NN          FT          ST         e          mAP        nDCG
  ----------- ----------- ----------- ---------- ---------- ----------- ----------
   *edgeLBP*   **0.985**   **0.801**   **0.97**   **0.66**   **0.859**   **0.94**
   *meshLBP*     0.94        0.615      0.805       0.54       0.691       0.87
     Hist1        0.3        0.301      0.415       0.27       0.354       0.58
     Hist2       0.61        0.522      0.774       0.51       0.57        0.76

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![Performance evaluation on the CCP dataset. Top: the NN, FT, ST, e-measure, mAP and nDGC evaluation measures. Middle: the Precision-Recall curves. Bottom: the confusion matrix and tier image of the edgeLBP and the meshLBP runs.[]{data-label="fig:ccp_res"}](pic/PR_ccp.png "fig:"){width="10cm"}

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                                                                                                                                             Confusion Matrix                                                                                                                                                                                                                                                                                           Tier Image                                                                                                                                                                                                                                                                                               Confusion Matrix                                                                                                                                                                                                                                                                                                   Tier Image
   ![Performance evaluation on the CCP dataset. Top: the NN, FT, ST, e-measure, mAP and nDGC evaluation measures. Middle: the Precision-Recall curves. Bottom: the confusion matrix and tier image of the edgeLBP and the meshLBP runs.[]{data-label="fig:ccp_res"}](pic/ccp_cm.png "fig:"){width="3cm"}   ![Performance evaluation on the CCP dataset. Top: the NN, FT, ST, e-measure, mAP and nDGC evaluation measures. Middle: the Precision-Recall curves. Bottom: the confusion matrix and tier image of the edgeLBP and the meshLBP runs.[]{data-label="fig:ccp_res"}](pic/ccp_ti.png "fig:"){width="3cm"}   ![Performance evaluation on 