Research Article
Feature Extraction with Ordered Mean Values for Content Based Image Classification
Table 24
Confusion matrix for feature extraction by binarization with Bernsen’s local threshold technique.
| | a | b | c | d | e | f | g | h | i | ← classified as |
| | 57 | 2 | 9 | 13 | 0 | 13 | 2 | 2 | 2 | ∣ a = Tribals | | 4 | 41 | 16 | 4 | 0 | 9 | 1 | 1 | 24 | ∣ b = Seabeach | | 11 | 14 | 39 | 16 | 0 | 3 | 3 | 5 | 9 | ∣ c = gothicstr | | 13 | 2 | 13 | 58 | 0 | 2 | 3 | 0 | 9 | ∣ d = Bus | | 0 | 0 | 0 | 0 | 100 | 0 | 0 | 0 | 0 | ∣ e = Dinosaur | | 12 | 6 | 6 | 2 | 1 | 68 | 0 | 4 | 1 | ∣ f = Elephant | | 7 | 3 | 4 | 4 | 0 | 0 | 82 | 0 | 0 | ∣ g = Roses | | 3 | 1 | 3 | 1 | 0 | 4 | 0 | 88 | 0 | ∣ h = Horses | | 4 | 21 | 15 | 14 | 0 | 3 | 0 | 0 | 43 | ∣ i = Mountains |
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