Method | Quant. algo. | N_{g} | NS | Features | NF |
---|---|---|---|---|---|

Non-textures | Volume, size, solidity, eccentricity | 4 | |||

Histogram | Equal probability, uniform | 16 32 | 2 | Variance, skewness, and kurtosis | 24 |

GLCM | Equal probability, uniform | 16 32 | 2 | Energy, Contrast, Correlation, Homogeneity, Variance, Sum Average, Entropy, Dissimilarity and Autocorrelation | 72 |

GLRLM | Equal probability, uniform | 16 32 | 2 | Short Run Emphasis (SRE), Long Run Emphasis (LRE), Gray-level Non-uniformity (GLN), Run-Length Non-uniformity (RLN), Run Percentage (RP), Low Gray-level Run Emphasis (LGRE), High Gray-level Run Emphasis (HGRE), Short Run Low Gray-level Emphasis (SRLGE), Short Run High Gray-level Emphasis (SRHGE), Long Run Low Gray-level Emphasis (LRLGE), Long Run High Gray-level Emphasis (LRHGE), Gray-level Variance (GLV) and Run-Length Variance (RLV) | 104 |

GLSZM | Equal probability, uniform | 16 32 | 2 | Small Zone Emphasis (SZE), Large Zone Emphasis (LZE), Gray-level Non-uniformity (GLN), Zone-Size Non-uniformity (ZSN), Zone Percentage (ZP), Low Gray-level Zone Emphasis (LGZE), High Gray-level Zone Emphasis (HGZE), Small Zone Low Gray-level Emphasis (SZLGE), Small Zone High Gray-level Emphasis (SZHGE), Large Zone Low Gray-level Emphasis (LZLGE), Large Zone High Gray-level Emphasis (LZHGE), Gray-level Variance (GLV) and Zone-Size Variance (ZSV) | 104 |

NGTDM | Equal probability, uniform | 16 32 | 2 | Coarseness, Contrast, Busyness, Complexity and Strength | 40 |

**Note:**â€”Quant. algo. indicates quantization algorithm; N_{g}, number of gray levels; NS, number of scales; NF, number of features; GLCM, gray-level co-occurrence matrix; GLRLM, gray-level run length matrix; GLSZM, gray-level size zone matrix; NGTDM, neighborhood gray-tone difference matrix.