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Table 3 Texture features at quarter resolution

From: Optimizing automated characterization of liver fibrosis histological images by investigating color spaces at different resolutions

TA Method

Greylevel

RGB

HSI

COM

Sum Entropy

G-Sum Entropy

I _ Contrast

 

Sum Variance

G-Sum of Squares

I _ Correlation

 

Sum of Squares

G-Sum Variance

I _ Inverse Difference Moment

RLM

Horizontal greylevel non-uniformity

G_45° greylevel non-uniformity

I _ Inverse Difference Moment

 

Vertical greylevel non-uniformity

G_ Horizontal greylevel non-uniformity

I _ Vertical Run length non-uniformity

 

45° greylevel non-uniformity

G_ Vertical greylevel non-uniformity

I _ Vertical Long Run Emphasis

WT

E 3

G_E 2

I _E 2

 

E 2

G_E 1

S_E 2

 

E 1

G_E 3

I _E 1

  1. The texture features (parameters with the highest F-Coefficient) that discriminate between the C and F groups on greylevel-, RGB-, and HSI- schemes at quarter resolution images, using TA methods:COM, RLM, and WT.
  2. R_: Red, G_: Green, and B_: Blue channels. H_: Hue, S_: Saturation, and I _: Intensity. E s Energy calculated from the wavelets using various scales (s).
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