# fitgeotrans

(Not recommended) Fit geometric transformation to control point pairs

`fitgeotrans`

is not recommended. Use the `fitgeotform2d`

function instead. For more information, see Compatibility Considerations.

## Syntax

## Description

fits a linear geometric transformation of type `tform`

= fitgeotrans(`movingPoints`

,`fixedPoints`

,`tformType`

)`tformType`

to
control point pairs `movingPoints`

and
`fixedPoints`

.

fits a `tform`

= fitgeotrans(`movingPoints`

,`fixedPoints`

,"polynomial",`degree`

)`PolynomialTransformation2D`

object to control point pairs
`movingPoints`

and `fixedPoints`

. Specify
the degree of the polynomial transformation, which can be 2, 3, or 4.

fits a `tform`

= fitgeotrans(`movingPoints`

,`fixedPoints`

,"pwl")`PiecewiseLinearTransformation2D`

object to control point
pairs `movingPoints`

and `fixedPoints`

. This
transformation creates a Delaunay
triangulation of the fixed control points, and maps moving control points
to the corresponding fixed control points. A different affine transformation maps
control points in each local region. The mapping is continuous across the control
points, but is not continuously differentiable.

fits a `tform`

= fitgeotrans(`movingPoints`

,`fixedPoints`

,"lwm",`n`

)`LocalWeightedMeanTransformation2D`

object to control point
pairs `movingPoints`

and `fixedPoints`

. The
local weighted mean transformation creates a mapping, by inferring a polynomial at
each control point using neighboring control points. The mapping at any location
depends on a weighted average of these polynomials. The `n`

closest points are used to infer a second degree polynomial transformation for each
control point pair.

## Examples

## Input Arguments

## Output Arguments

## More About

## References

[1] Goshtasby, Ardeshir. “Piecewise Linear Mapping Functions for Image Registration.” Pattern Recognition 19, no. 6 (January 1986): 459–66. https://doi.org/10.1016/0031-3203(86)90044-0.

[2] Goshtasby, Ardeshir. “Image Registration by Local Approximation Methods.” Image and Vision Computing 6, no. 4 (November 1988): 255–61. https://doi.org/10.1016/0262-8856(88)90016-9.

## Extended Capabilities

## Version History

**Introduced in R2013b**