From: Machine learning hyperparameter selection for Contrast Limited Adaptive Histogram Equalization
No. | Type | Feature |
---|---|---|
01 | Spatial | Mean value of intensity image |
02 | Spatial | Standard deviation of intensity image |
03 | Spatial | Entropy of intensity image |
04 | Histogram | Standard deviation of intensity image histogram |
05 | Histogram | Kurtosis of intensity image histogram |
06 | Histogram | Skewness of intensity image histogram |
07–16 | Texture | Vector of local binary patterns (LBP) rotationally invariant features |
17 | Texture | Entropy of gray-level co-occurrence matrix |
18 | Texture | Inertia of gray-level co-occurrence matrix |
19 | Texture | Energy of gray-level co-occurrence matrix |
20 | Texture | Correlation of gray-level co-occurrence matrix |
21 | Texture | Homogeneity of gray-level co-occurrence matrix |
22 | Texture | FFT energy |
23 | Texture | FFT entropy |
24 | Texture | FFT inertia |
25 | Texture | FFT homogeneity |
26 | Image quality | Statistical naturalness measure (SNM) |
27 | Image quality | Measure of enhancement (EME) |
28 | Image quality | Global contrast factor (GCF) |