Volumetric wavelet Data Processing¶

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This numerical tour explores volumetric (3D) data processing.

In [2]:

using PyPlot
using NtToolBox
using Autoreload
#arequire("NtToolBox")
#areload()

3D Volumetric Datasets¶

We load a volumetric data.

In [2]:

M = NtToolBox.read_bin("NtToolBox/src/data/vessels.bin", 3);

In [3]:

M = NtToolBox.rescale(M);

Size of the image (here it is a cube).

In [4]:

n = size(M)[2];

We can display some horizontal slices.

In [5]:

slices = Array{Int64,1}(round(linspace(10, n-10, 4)))
figure(figsize = (10,10))

for i in 1:length(slices)
    s = slices[i]
    NtToolBox.imageplot(M[:, :, s], @sprintf("Z = %i", s), [2, 2, i])
end

We can display an isosurface of the dataset (here we sub-sample to speed up the computation). You need to have PyCall package installed in Julia in order to use some functions in python, besides you also have to install the package skimage in python.

In [6]:

include("NtToolBox/src/isosurface.jl")
isosurface(M, .5, 3, "")