Table 3 Extracted features in 1D and 2D modes from alpha-stable distributions and whitened MRI images.
From: Stochastic differential equation modeling approach for grading astrocytomas on brain MRI images
One-dimensional (1D) Mode | Two-dimensional (2D) Mode | |
|---|---|---|
Characteristic exponent (α) | Characteristic exponent (α) | |
Skewness parameter (β) | Skewness parameter (β) | |
Scale parameter (σ) | Scale parameter (σ) | |
Location parameter (µ) | Location parameter (µ) | |
FLOM with p = 0.3** | FLOM with p = 0.3** | |
Log-moment with p = 0.3** | Log-moment with p = 0.3** | |
Inverse Difference Moment (IDM) | Largest rectangular area in histogram | |
Area under histogram | Area under histogram | |
Largest rectangular area in histogram | From Gray-Level Co-occurrence Matrix (GLCM) with an angle of 0 degrees | Contrast |
Root mean square of the histogram | Correlation | |
Energy | Energy | |
Entropy | Homogeneity | |
