Parametric model fitting-based approach for retinal blood vessel caliber estimation in eye fundus images
Fig 8
Examples of curves of the Hermite model as defined in Eq 1, but in 1D.
A: effect of the amplitude of the main Gaussian (h); B: effect of the spread of the Gaussians (σ); C: effect of the amplitude of the two other Gaussians (β); D: effect of the CLR asymmetry (δ). A profile length of 20 pixels was set to the vessel. In each plot a parameter is varied at a time, with the remaining parameters fixed, in order to evaluate the influence of that parameter in the overall model shape (t = 1, h = −0.588, β = 0.2, μ = 10, δ = 0.2, σ = 2.5).