Table 2 Categories wise results for Brodatz texture dataset for various number of output images

From: Radiological image retrieval technique using multi-resolution texture and shape features

S.N. Category Top-10 Top-20 Top-30
  Name Precision Recall F-score Precision Recall F-score Precision Recall F-score
1 Bark 100 8.92 16.37 100 17.85 30.30 100 26.81 42.25
2 Brick 100 8.92 16.37 100 17.85 30.30 93.33 25.02 39.43
3 Bubbles 100 8.92 16.37 100 17.85 30.30 96.67 25.92 40.84
4 Grass 100 8.92 16.37 100 17.85 30.30 100 26.81 42.25
5 Leather 100 8.92 16.37 100 17.85 30.30 100 26.81 42.25
6 Pigskin 100 8.92 16.37 100 17.85 30.30 93.33 25.02 39.43
7 Raffia 100 8.92 16.37 100 17.85 30.30 100 26.81 42.25
8 Sand 100 8.92 16.37 92 16.27 27.65 86.67 23.24 36.62
9 Strawy 100 8.92 16.37 100 17.85 30.30 96.67 25.92 40.84
10 Water 100 8.92 16.37 100 17.85 30.30 100 26.81 42.25
11 Weave 100 8.92 16.37 100 17.85 30.30 100 26.81 42.25
12 Wood 100 8.92 16.37 100 17.85 30.30 100 26.81 42.25
13 Wool 100 8.92 16.37 100 17.85 30.30 100 26.81 42.25