Steve on Image Processing with MATLAB

Image processing concepts, algorithms, and MATLAB

Spatial transformations: Affine

To explore spatial transformations of images, we need a simple, nontrivial, and useful transformation. The affine transformation fits the bill.

Here's the basic affine equation:

or:

Already we've encountered another common notational confusion. Sometimes a user will contact us and say "imtransform shrank my image in the horizontal direction, when it should have shrunk it in the vertical direction. Is this a bug in imtransform?" No, it's not a bug. The cause is that the user tried an A matrix from a source that defines the affine equation this way:

The A matrices in these two formulas are not the same; one is the transpose of the other.

Several common spatial transformations applied to images can be expressed in terms of an affine equation, including scaling:

Rotation:

And translation:

OK, enough background notation and equations. Next time we'll jump into MATLAB, construct some affine transformations, and apply them to points.




Published with MATLAB® 7.1

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