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Reduce number of elements in volume data set


[nx,ny,nz,nv] = reducevolume(X,Y,Z,V,[Rx,Ry,Rz])
[nx,ny,nz,nv] = reducevolume(V,[Rx,Ry,Rz])
nv = reducevolume(...)


[nx,ny,nz,nv] = reducevolume(X,Y,Z,V,[Rx,Ry,Rz]) reduces the number of elements in the volume by retaining every Rxth element in the x direction, every Ryth element in the y direction, and every Rzth element in the z direction. If a scalar R is used to indicate the amount or reduction instead of a three-element vector, the MATLAB® software assumes the reduction to be [R R R].

The arrays X, Y, and Z define the coordinates for the volume V. The reduced volume is returned in nv, and the coordinates of the reduced volume are returned in nx, ny, and nz.

[nx,ny,nz,nv] = reducevolume(V,[Rx,Ry,Rz]) assumes the arrays X, Y, and Z are defined as [X,Y,Z] = meshgrid(1:n,1:m,1:p), where [m,n,p] = size(V).

nv = reducevolume(...) returns only the reduced volume.


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This example uses a data set that is a collection of MRI slices of a human skull. This data is processed in a variety of ways:

  • The 4-D array is squeezed (squeeze) into three dimensions and then reduced (reducevolume) so that what remains is every fourth element in the x and y directions and every element in the z direction.

  • The reduced data is smoothed (smooth3).

  • The outline of the skull is an isosurface generated as a patch (p1) whose vertex normals are recalculated to improve the appearance when lighting is applied (patch, isosurface, isonormals).

  • A second patch (p2) with an interpolated face color draws the end caps (FaceColor) isocaps).

  • The view of the object is set (view, axis, daspect).

  • A 100-element grayscale colormap provides coloring for the end caps (colormap).

  • Adding a light to the right of the camera illuminates the object (camlight, lighting).

load mri
D = squeeze(D);
[x,y,z,D] = reducevolume(D,[4,4,1]);
D = smooth3(D);
p1 = patch(isosurface(x,y,z,D,5),...
p2 = patch(isocaps(x,y,z,D,5),...
axis tight
lighting gouraud

Introduced before R2006a

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