Research Article
Feature Extraction with Ordered Mean Values for Content Based Image Classification
Table 26
Confusion matrix for feature extraction by ternary threshold selection.
| a | b | c | d | e | f | g | h | i | ← classified as |
| 63 | 3 | 6 | 13 | 1 | 12 | 0 | 2 | 0 | ∣ a = Tribals | 6 | 42 | 9 | 3 | 0 | 9 | 0 | 1 | 30 | ∣ b = Seabeach | 12 | 15 | 33 | 13 | 0 | 5 | 3 | 4 | 15 | ∣ c = gothicstr | 14 | 3 | 23 | 53 | 0 | 0 | 1 | 0 | 6 | ∣ d = Bus | 0 | 0 | 0 | 0 | 100 | 0 | 0 | 0 | 0 | ∣ e = Dinosaur | 12 | 7 | 10 | 2 | 1 | 62 | 0 | 4 | 2 | ∣ f = Elephant | 2 | 0 | 3 | 5 | 0 | 0 | 88 | 2 | 0 | ∣ g = Roses | 6 | 3 | 4 | 1 | 0 | 4 | 0 | 80 | 2 | ∣ h = Horses | 1 | 22 | 16 | 13 | 0 | 6 | 0 | 1 | 41 | ∣ i = Mountains |
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