Apply a precomputed CGB graph to volumetric data — cgb_smooth • neuroim2

Apply a precomputed CGB graph to volumetric data

Usage

cgb_smooth(x, graph, passes = 1L, lambda = 1)

Arguments

x: A NeuroVec (4D) or NeuroVol (3D).
graph: Graph list returned by cgb_make_graph.
passes: Number of smoothing passes (>=1). Each pass multiplies by W; if lambda < 1 a simple diffusion blend (1 - lambda)I + lambda W is applied per pass.
lambda: Blend factor in \([0,1]\) controlling diffusion strength.

Value

Smoothed object of the same class as x.