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Table 2 Categories of numerical features extracted for each image

From: Deriving image features for autonomous classification from time-series recurrence plots

STANDARD RECURRENCE QUANTIFICATION ANALYSIS (RQA) EYE STRUCTURE QUANTIFICATION (ESQ)
Area Clustering coefficient Mean eye size
Compactness Determinism Median pixels of eye
Contrast Entropy diagonal length Number of eyes
Eccentricity Laminarity Summed pixel in eyes
Hu1-Moment Longest diagonal length  
Homogeneity Longest vertical length  
LengthBoundary Mean diagonal length  
Solidity Recurrence period density  
  Recurrence rate  
  Recurrence time1  
  Recurrence time 2  
  Transitvity  
  Trapping time  
  1. All features of a category have been either used in the analyses or excluded