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Table 1 Parameters used for two kernels for segmentation of ILM and RPE layers

From: Automated assessment of the smoothness of retinal layers in optical coherence tomography images using a machine learning algorithm

Kernel

\(\lambda\)

\(\theta\)

\(\psi\)

\(\sigma\)

\(\gamma\)

Kernel 1 for ILM layer

\(\frac{\pi }{4}\)

\(\frac{2\pi }{4}\)

11

23

14

Kernel 2 for RPE layer

\(\frac{\pi }{4}\)

\(\frac{2\pi }{4}\)

− 1.5

20

11