Skip to main content

View full-text article in PMC

. 2020 Jul 13;20(14):3903. doi: 10.3390/s20143903

Table 2.

Features for Classifications.

Features	Equations
mean of the intensity	$\sum_{r v i n}^{L - 1} r_{r v i n} h (r_{r v i n})$
Standard deviation	$\sqrt{\sum_{r v i n}^{L - 1} {(r_{r v i n} - m e a n)}^{2} h (r_{r v i n})}$
Smoothness	$1 - \frac{1}{1 + {(s i g m a)}^{2}}$
Skewness	$\sum_{r v i n}^{L - 1} {(r_{r v i n} - m e a n)}^{3} h (r_{r v i n})$
Uniformity	$\sum_{r v i n}^{L - 1} h^{2} (r_{r v i n})$
Entropy	$\sum_{r v i n}^{L - 1} h (r_{r v i n}) log h (r_{r v i n})$
Kurtosis	$\sum_{r v i n}^{L - 1} {(r_{r v i n} - m e a n)}^{4} h (r_{r v i n})$