Research Article
Feature Extraction with Ordered Mean Values for Content Based Image Classification
Table 25
Confusion matrix for feature extraction by binarization with Sauvola’s local threshold technique.
| | a | b | c | d | e | f | g | h | i | ← classified as |
| | 68 | 5 | 6 | 3 | 2 | 6 | 2 | 3 | 5 | ∣ a = Tribals | | 7 | 24 | 18 | 7 | 0 | 12 | 3 | 0 | 29 | ∣ b = Seabeach | | 5 | 12 | 43 | 18 | 0 | 11 | 4 | 3 | 4 | ∣ c = gothicstr | | 4 | 2 | 17 | 60 | 0 | 5 | 3 | 0 | 9 | ∣ d = Bus | | 0 | 0 | 0 | 0 | 100 | 0 | 0 | 0 | 0 | ∣ e = Dinosaur | | 7 | 7 | 12 | 3 | 1 | 67 | 0 | 3 | 0 | ∣ f = Elephant | | 3 | 0 | 4 | 3 | 0 | 0 | 85 | 3 | 2 | ∣ g = Roses | | 7 | 3 | 2 | 2 | 0 | 4 | 1 | 81 | 0 | ∣ h = Horses | | 3 | 29 | 10 | 12 | 0 | 3 | 1 | 0 | 42 | ∣ i = Mountains |
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