volumebounds

Coordinate and color limits for volume data

Syntax

lims = volumebounds(X,Y,Z,V)
lims = volumebounds(X,Y,Z,U,V,W)
lims = volumebounds(V)
lims = volumebounds(U,V,W)


Description

lims = volumebounds(X,Y,Z,V) returns the x, y, z, and color limits of the current axes for scalar volume data. lims is returned as a vector:

[xmin xmax ymin ymax zmin zmax cmin cmax]

You can pass this vector to the axis command.

lims = volumebounds(X,Y,Z,U,V,W) returns the x, y, and z limits of the current axes for vector volume data. lims is returned as a vector:

[xmin xmax ymin ymax zmin zmax]

lims = volumebounds(V) and lims = volumebounds(U,V,W) assumes X, Y, and Z are determined by the expression

[X Y Z] = meshgrid(1:n,1:m,1:p) 

where [m n p] = size(V).

Examples

Set Axes and Color Limits for Isosurface

Use volumebounds to set the axes and color limits for an isosurface returned by the flow function.

[x,y,z,v] = flow;
p = patch(isosurface(x,y,z,v,-3));
isonormals(x,y,z,v,p);
daspect([1 1 1]);
isocolors(x,y,z,fliplr(v),p);
shading interp
axis(volumebounds(x,y,z,v));

Extended Capabilities

GPU Arrays

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

The volumebounds function supports GPU array input with these 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