smooth3

Smooth 3-D data

Syntax

Description

W = smooth3(V) smooths the input data V and returns the smoothed data in W.

W = smooth3(V,'filter') filter determines the convolution kernel and can be one of these values:

• 'gaussian'

• 'box' (default)

W = smooth3(V,'filter',size) sets the size of the convolution kernel (default is [3 3 3]). If size is scalar, then size is interpreted as [size, size, size].

W = smooth3(V,'filter',size,sd) sets an attribute of the convolution kernel. When filter is gaussian, sd is the standard deviation (default is .65).

Examples

Smooth Isosurface Data

Create a 10-by-10-by-10 array of random data and smooth it.

data = rand(10,10,10);
data = smooth3(data,'box',5);

Display the data as an isosurface with end caps.

patch(isocaps(data,.5),...
   'FaceColor','interp','EdgeColor','none');
p1 = patch(isosurface(data,.5),...
   'FaceColor','blue','EdgeColor','none');
isonormals(data,p1);
view(3); 
axis vis3d tight
camlight left
lighting gouraud

Extended Capabilities

GPU Arrays

Accelerate code by running on a graphics processing unit (GPU) using Parallel Computing Toolbox™.

Usage notes and limitations:

• This function accepts GPU arrays, but does not run on a GPU.

For more information, see Run MATLAB Functions on a GPU (Parallel Computing Toolbox).

Distributed Arrays

Partition large arrays across the combined memory of your cluster using Parallel Computing Toolbox™.

Usage notes and limitations:

• This function operates on distributed arrays, but executes in the client MATLAB^®.

For more information, see Run MATLAB Functions with Distributed Arrays (Parallel Computing Toolbox).

Version History

Introduced before R2006a