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# Table 1 Description of phenotype texture measurements

Feature name | Expression | Description |
---|---|---|

std | \(f_{1}=\sqrt {\sum \limits _{i}(i-mean)^{2}H\,(i)}\) | 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. 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 | \(f_{3}=\sum \limits _{i}(i-mean)^{3}H\,(i)\) | 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 | \(f_{4}=\sum \limits _{i}H^{2}\,(i)\) | The sum of squared elements in |

Histogram. It reaches maximum | ||

when all intensity levels are equal | ||

and decreases from there. | ||

Entropy | \(f_{5}=-\sum \limits _{i}H(i)\log _{2}{H\,(i)}\) | The statistical measure of |

randomness. |