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Table 1 Overview of the 22 texture features

From: Texture analysis of pulmonary parenchymateous changes related to pulmonary thromboembolism in dogs – a novel approach using quantitative methods

  First and second order statistical parameters Abbreviation
1 Autocorrelation [34] autoc
2 Contrast [13, 34] contr
3 Correlation (Matlab) corrm
4 Correlation [13, 34] corrp
5 Cluster prominence [34] cprom
6 Dissimilarity [34] dissi
7 Energy [13, 34] energ
8 Entropy [34] entro
9 Inverse difference is homogeneity [22] homom
10 Homogeneity [34] homop
11 Maximum probability [34] maxpr
12 Sum of squares (variance) [13] sosvh
13 Sum of average [34] savgh
14 Sum of variance [34] svarh
15 Sum of entropy [34] senth
16 Difference variance [34] dvarh
17 Difference entropy [34] denth
18 Information measure of correlation 1 [34] inf1h
19 Information measure of correlation 2 [34] inf2h
20 Inverse difference normalized [22] indnc
21 Inverse different moment normalized [22] indmc
22 Cluster shade [34] cshad
  1. Overview of and nomenclature for the 22 texture features derived from the grey level co-occurrence matrices generated. One parameter was created in Matlab (noted in brackets)