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Table 1 TA features grouped by texture type

From: Texture-based classification of different single liver lesion based on SPAIR T2W MRI images

Texture type

    

IH

GLCM

GLGCM

GLRLM(0°,45°,90°,135°)

GWTF

ISZM

Variance

Energymean/variance

Small gradient emphasis

Short run emphasis

S_gabor-00

Small zone emphasis

Skewness

Entropymean/variance

Large gradient emphasis

Long run emphasis

S_gabor-01

Large zone emphasis

Kurtosis

Contrastmean/variance

Gray inhomogeneous

Grey-Level Non-uniformity

S_gabor-02

Intensity variability

 

Correlationmean/variance

Gradient gray inhomogeneous

Run-Length Non-uniformity

S_gabor-03

Size zone variability

 

Homogeneitymean/variance

Gradient energy

Low Gray-Level Run emphasis

S_gabor-04

Zone percentage

 

Sum Variancemean/variance

Mean Gray

High Gray-Level Run emphasis

...

Low intensity emphasis

 

Cluster shademean/variance

Mean Gradient

Short Run Low Gray-Level emphasis

S_gabor-47

High intensity emphasis

 

Cluster tendencymean/variance

Gray variance

Short Run High Gray-Level emphasis

A_gabor-00

Low-intensity small-zone emphasis

 

Inverse difference momentmean/variance

Gradient variance

Long Run Low Gray-Level emphasis

A_gabor-01

High-intensity small-zone emphasis

 

Inverse Variancemean/variance

Gradient correlation

Long Run High Gray-Level emphasis

A_gabor-02

Low-intensity large-zone emphasis

  

Gray entropy

Run Percentage

A_gabor-03

High-intensity large-zone emphasis

  

Gradient entropy

 

A_gabor-04

 
  

Mixture entropy

 

A_gabor-05

 
  

Gradient difference moment

 

...

 
  

Gradient inverse difference moment

A_gabor-47

 
  1. 5 numbers of wavelet scales, 8 numbers of filter orientations, =0,1,2,3,4 and =0,1,2,3,4,5,6,7
  2. S_gabor-00 represents mean square energy features of ν=0 and μ=0
  3. A_gabor-01 represents mean amplitude in scale of ν=0 and μ=1