Generic Geometric Transformations

Perform generic geometric transformations using the imwarp workflow

Geometric transformations map pixel coordinates in the output image to coordinates in the input image. The mapping process then interpolates the value of output pixels from the input image.

Use these functions to perform general 2-D, 3-D, and N-D geometric transformations. To perform a 2-D or 3-D geometric transformation, first create a geometric transformation object that stores information about the transformation. Then, pass the image to be transformed and the geometric transformation object to the imwarp function.

Functions

imwarpApply geometric transformation to image
fitgeotransFit geometric transformation to control point pairs
findboundsFind output bounds for spatial transformation
fliptformFlip input and output roles of spatial transformation structure
makeresamplerCreate resampling structure
maketformCreate spatial transformation structure (TFORM)
tformarrayApply spatial transformation to N-D array
tformfwdApply forward spatial transformation
tforminvApply inverse spatial transformation

Objects

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WarperApply same geometric transformation to many images efficiently
imref2d Reference 2-D image to world coordinates
imref3d Reference 3-D image to world coordinates
affine2d2-D affine geometric transformation
affine3d 3-D affine geometric transformation
projective2d 2-D projective geometric transformation
geometricTransform2d2-D geometric transformation object
geometricTransform3d3-D geometric transformation object
PiecewiseLinearTransformation2D2-D piecewise linear geometric transformation
PolynomialTransformation2D2-D polynomial geometric transformation
LocalWeightedMeanTransformation2D2-D local weighted mean geometric transformation

Topics

Geometric Transformation

2-D and 3-D Geometric Transformation Process Overview

To perform a general geometric transformation of a 2-D or 3-D image, first define the parameters of the transformation, then warp the image.

Matrix Representation of Geometric Transformations

Affine and projective transformations are represented by matrices. You can use matrix operations to perform a global transformation of an image.

N-Dimensional Spatial Transformations

You can create custom geometric transformations to process images of arbitrary dimension, or to change the dimensionality of the output image from the input image.

Specify Fill Values in Geometric Transformation Output

This example shows how to specify the color of blank space in the image after a geometric transformation.

Spatial Referencing

Image Coordinate Systems

Learn how image locations are expressed using pixel indices and spatial coordinates.

Define World Coordinates Using Spatial Referencing

Spatial referencing objects encode the relationship between the image extent in intrinsic coordinates, the image extent in world coordinates, and the image resolution.

Define World Coordinates Using XData and YData Properties

The XData and YData image properties are two-element vectors that control the range of coordinates spanned by the image.

Featured Examples