Research Article
Feature Extraction with Ordered Mean Values for Content Based Image Classification
Table 19
Confusion matrix for Caltech dataset for feature extraction with DST (RIDOR classifier).
| | a | b | c | d | e | f | g | h | i | j | k | l | m | n | o | p | q | r | s | t | ← classified as |
| | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 | 0 | 0 | 1 | 81 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | ∣ a = Airplane | | 1 | 36 | 3 | 1 | 3 | 21 | 3 | 0 | 8 | 3 | 1 | 3 | 3 | 0 | 3 | 0 | 0 | 3 | 0 | 8 | ∣ b = Bonsai | | 0 | 0 | 22 | 1 | 0 | 13 | 2 | 0 | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 2 | 0 | 2 | ∣ c = Panther | | 0 | 2 | 0 | 20 | 1 | 20 | 2 | 2 | 3 | 0 | 0 | 4 | 2 | 0 | 1 | 0 | 1 | 3 | 0 | 6 | ∣ d = Dalmatian | | 0 | 1 | 0 | 2 | 33 | 7 | 3 | 1 | 0 | 0 | 0 | 4 | 3 | 0 | 0 | 1 | 4 | 0 | 1 | 4 | ∣ e = Dolphin | | 0 | 7 | 1 | 5 | 5 | 356 | 13 | 4 | 4 | 0 | 4 | 4 | 0 | 2 | 0 | 0 | 8 | 7 | 1 | 14 | ∣ f = Faces | | 0 | 4 | 0 | 0 | 2 | 17 | 33 | 0 | 1 | 0 | 0 | 2 | 3 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | ∣ g = Flamingo | | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 21 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | ∣ h = Deer | | 0 | 2 | 2 | 2 | 0 | 11 | 1 | 0 | 46 | 2 | 1 | 4 | 14 | 0 | 0 | 0 | 0 | 2 | 0 | 12 | ∣ i = Piano | | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 1 | 0 | 16 | 1 | 0 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | ∣ j = Skates | | 0 | 1 | 0 | 0 | 1 | 2 | 1 | 0 | 1 | 3 | 17 | 0 | 4 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | ∣ k = Metronome | | 0 | 0 | 0 | 1 | 0 | 2 | 2 | 0 | 0 | 0 | 0 | 59 | 0 | 0 | 0 | 0 | 0 | 1 | 8 | 0 | ∣ l = Minar | | 0 | 3 | 1 | 0 | 1 | 9 | 3 | 0 | 4 | 2 | 0 | 1 | 757 | 0 | 1 | 0 | 2 | 1 | 0 | 6 | ∣ m = Motorbike | | 0 | 4 | 1 | 0 | 2 | 11 | 1 | 0 | 0 | 1 | 1 | 0 | 3 | 10 | 0 | 0 | 0 | 0 | 0 | 1 | ∣ n = Panda | | 0 | 2 | 2 | 1 | 1 | 10 | 0 | 1 | 3 | 2 | 0 | 2 | 2 | 0 | 17 | 1 | 2 | 2 | 0 | 6 | ∣ o = Football | | 0 | 4 | 0 | 1 | 1 | 6 | 2 | 0 | 1 | 0 | 1 | 1 | 8 | 0 | 0 | 31 | 1 | 2 | 0 | 4 | ∣ p = Stopsign | | 1 | 3 | 0 | 1 | 3 | 17 | 4 | 1 | 3 | 0 | 1 | 3 | 5 | 0 | 0 | 2 | 29 | 2 | 3 | 7 | ∣ q = Sunflower | | 0 | 1 | 0 | 1 | 1 | 8 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 43 | 0 | 3 | ∣ r = Tree | | 0 | 0 | 0 | 1 | 0 | 2 | 2 | 0 | 0 | 0 | 0 | 56 | 0 | 0 | 0 | 0 | 0 | 1 | 8 | 0 | ∣ s = Tomb | | 0 | 2 | 2 | 3 | 3 | 18 | 3 | 0 | 6 | 1 | 2 | 7 | 15 | 2 | 2 | 5 | 7 | 3 | 0 | 158 | ∣ t = Watches |
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