Estimates geometric transformation that aligns two 2-D images using phase correlation

- example
`tform = imregcorr(moving,fixed)`

`tform = imregcorr(moving,fixed,transformtype)`

`tform = imregcorr(moving,Rmoving,fixed,Rfixed,___)`

`tform = imregcorr(___,Name,Value,___)`

estimates
the geometric transformation, where `tform`

= imregcorr(`moving`

,`fixed`

,`transformtype`

)`transformtype`

is
a character vector that specifies the type of transformation.

estimates
the geometric transformation that aligns an image, `tform`

= imregcorr(`moving`

,`Rmoving`

,`fixed`

,`Rfixed`

,___)`moving`

,
with a reference image, `fixed`

. `Rmoving`

and `Rfixed`

are
spatial referencing objects that contain spatial information about
the `moving`

and `fixed`

images,
respectively. The transformation object returned, `tform`

,
defines the point mapping in the world coordinate system.

registers
the moving image to the fixed image using name-value pairs to control
various aspects of the registration algorithm.`tform`

= imregcorr(___,`Name,Value`

,___)

[1] Reddy, B. S. and Chatterji, B. N., *An
FFT-Based Technique for Translation, Rotation, and Scale-Invariant
Image Registration*, IEEE Transactions on Image Processing,
Vol. 5, No. 8, August 1996

`imregister`

| `imregtform`

| `imshowpair`

| `imwarp`

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