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 |