Feature Name | Expression | Description |
---|---|---|
std | \(f_{1} = \sqrt {\sum _{i}(i-mean)^{2}H(i)} \) | The standard deviation of intensity from all the pixels in a region. |
Smoothness | \(f_{2} = 1 - \frac {1}{(1+f_{1}^{2})} \) | The relative smoothness of the intensity in a region of constant intensity in a region. It is 0 for a region of constant intensity and 1 for a region with large excursion in the values of its intensity levels. |
Skewness | \(f_{3} = \sum _{i}(i-mean)^{3}H(i) \) | The order moment about the mean. The departure from symmetry about the mean intensity. It is 0 for symmetric histograms, positive for histograms skewed to the right and negative for histograms skewed to the left. |
Uniformity | \( f_{4} = \sum _{i}H^{2}(i) \) | The sum of squared elements in Histogram. It reaches maximum when all intensity levels are equal and decreases from there. |
Entropy | \( f_{5} = -\sum _{i}H(i)log_{2}H(i) \) | The statistical measure of randomness. |
i represents the intensity value. H(i) is the histogram of intensity. | ||
mean symbolizes the average intensity. |