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Table 2 List of all image features extracted

From: Machine learning hyperparameter selection for Contrast Limited Adaptive Histogram Equalization

No.

Type

Feature

01

Spatial

Mean value of intensity image

02

Spatial

Standard deviation of intensity image

03

Spatial

Entropy of intensity image

04

Histogram

Standard deviation of intensity image histogram

05

Histogram

Kurtosis of intensity image histogram

06

Histogram

Skewness of intensity image histogram

07–16

Texture

Vector of local binary patterns (LBP) rotationally invariant features

17

Texture

Entropy of gray-level co-occurrence matrix

18

Texture

Inertia of gray-level co-occurrence matrix

19

Texture

Energy of gray-level co-occurrence matrix

20

Texture

Correlation of gray-level co-occurrence matrix

21

Texture

Homogeneity of gray-level co-occurrence matrix

22

Texture

FFT energy

23

Texture

FFT entropy

24

Texture

FFT inertia

25

Texture

FFT homogeneity

26

Image quality

Statistical naturalness measure (SNM)

27

Image quality

Measure of enhancement (EME)

28

Image quality

Global contrast factor (GCF)