. Author manuscript; available in PMC: 2017 Aug 3.

Published in final edited form as: IEEE Trans Med Imaging. 2014 Jul 8;33(12):2293–2310. doi: 10.1109/TMI.2014.2337057

TABLE II.

Extracted features for voxel-wise classification of lung tissues.

GLCM	Energy (f₁)
	Entropy (f₂)
	Correlation (f₃)
	Inverse Difference Moment (IDM) (f₄)
	Inertia (f₅)
	Cluster Shade (CS) (f₆)
	Cluster Prominence (CP) (f₇)

GLRL	Short Run Emphasis (SRE) (f₈)
	Long Run Emphasis (LRE) (f₉)
	Gray-Level Non-uniformity (GLN) (f₁₀)
	Run Length Non-uniformity (RLN) (f₁₁)
	Run Percentage (RP) (f₁₂)
	Low Gray-Level Run Emphasis (LGRE) (f₁₃)
	High Gray-Level Run Emphasis (HGRE) (f₁₄)
	Short Run Low Gray-Level Emphasis (SRLGE) (f₁₅)
	Short Run High Gray-Level Emphasis (SRHGE) (f₁₆)
	Long Run Low Gray-Level Emphasis (LRLGE) (f₁₇)
	Long Run High Gray-Level Emphasis (LRHGE) (f₁₈)

Hist	Mean (f₁₉)	Variance (f₂₀)	Skewness (f₂₁)
	Kurtosis (f₂₂)	Min. (f₂₃)	Max. (f₂₄)