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Table 2 Haralick and morphological features extracted from detected objects used in training the machine learning model

From: Accurate digital quantification of tau pathology in progressive supranuclear palsy

Features

 

Haralick features

Angular second moment (F0)

Contrast (F1)

Correlation (F2)

Sum of squares (F3)

Inverse difference moment (F4)

Sum average (F5)

Sum variance (F6)

Sum entropy (F7)

Entropy (F8)

Difference variance (F9)

Difference entropy (F10)

Information measure of correlation 1 (F11)

Information measure of correlation 2 (F12)

Morphology

Area

Circularity

Length

Maximum diameter

Minimum diameter

Solidity