isonormals

Compute normals of isosurface vertices

Syntax

n = isonormals(X,Y,Z,V,vertices)
n = isonormals(V,vertices)
n = isonormals(V,p)
n = isonormals(X,Y,Z,V,p)
n = isonormals(...,'negate')
isonormals(V,p)
isonormals(X,Y,Z,V,p)


Description

n = isonormals(X,Y,Z,V,vertices) computes the normals of the isosurface vertices from the vertex list, vertices, using the gradient of the data V. The arrays X, Y, and Z define the coordinates for the volume V. The computed normals are returned in n.

n = isonormals(V,vertices) 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).

n = isonormals(V,p) and n = isonormals(X,Y,Z,V,p) compute normals from the vertices of the patch identified by the handle p.

n = isonormals(...,'negate') negates (reverses the direction of) the normals.

isonormals(V,p) and isonormals(X,Y,Z,V,p) set the VertexNormals property of the patch identified by the handle p to the computed normals rather than returning the values.

Examples

Isosurface Using Different Types of Surface Normals

Compare the effect of different surface normals on the visual appearance of lit isosurfaces. In one case, the triangles used to draw the isosurface define the normals. In the other, the isonormals function uses the volume data to calculate the vertex normals based on the gradient of the data points. The latter approach generally produces a smoother-appearing isosurface.

Define a 3-D array of volume data.

data = cat(3,[0 .2 0; 0 .3 0; 0 0 0],...
    [.1 .2 0; 0 1 0; .2 .7 0],...
    [0 .4 .2; .2 .4 0;.1 .1 0]);
data = interp3(data,3,'cubic');

Draw an isosurface from the volume data and add lights. This isosurface uses triangle normals.

tiledlayout(1,2)
nexttile
fv = isosurface(data,.5);
p1 = patch(fv,'FaceColor','red','EdgeColor','none');
view(3)
daspect([1,1,1])
axis tight
camlight
camlight(-80,-10)
lighting gouraud
title('Triangle Normals')

Draw the same lit isosurface using normals calculated from the volume data.

nexttile
fv = isosurface(data,.5);
p2 = patch(fv,'FaceColor','red','EdgeColor','none');
isonormals(data,p2)
view(3) 
daspect([1 1 1])
axis tight
camlight 
camlight(-80,-10) 
lighting gouraud
title('Data Normals')

These isosurfaces illustrate the difference between triangle and data normals.

Extended Capabilities

GPU Arrays

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

The isonormals 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