Research Article
Feature Extraction with Ordered Mean Values for Content Based Image Classification
Table 28
Confusion matrix for feature extraction by binarization with Otsu’s global threshold technique.
| | a | b | c | d | e | f | g | h | i | ← classified as |
| | 41 | 6 | 20 | 19 | 1 | 6 | 0 | 1 | 6 | ∣ a = Tribals | | 14 | 27 | 20 | 2 | 0 | 13 | 0 | 5 | 19 | ∣ b = Seabeach | | 19 | 16 | 16 | 14 | 1 | 8 | 3 | 9 | 14 | ∣ c = gothicstr | | 13 | 3 | 20 | 45 | 1 | 4 | 2 | 1 | 11 | ∣ d = Bus | | 0 | 0 | 0 | 0 | 100 | 0 | 0 | 0 | 0 | ∣ e = Dinosaur | | 12 | 10 | 2 | 3 | 1 | 58 | 0 | 1 | 13 | ∣ f = Elephant | | 2 | 2 | 6 | 5 | 0 | 1 | 83 | 0 | 1 | ∣ g = Roses | | 1 | 8 | 14 | 1 | 0 | 0 | 0 | 72 | 4 | ∣ h = Horses | | 6 | 14 | 19 | 17 | 0 | 14 | 1 | 4 | 25 | ∣ i = Mountains |
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