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Help Center Help Center. Rmoving and Rfixed are spatial referencing objects that describe the world coordinate limits and the resolution of moving and fixed. Read two images. This example uses two magnetic resonance MRI images of a knee. The fixed image is a spin echo image, while the moving image is a spin echo image with inversion recovery.

The two sagittal slices were acquired at the same time but are slightly out of alignment. Create the optimizer and metric, specifying the modality as ” multimodal” because the images come from different sensors.

Tune the properties of the optimizer to get the problem to converge on a global maxima and to allow for more iterations. Image to be registered, specified as numeric matrix representing a 2-D grayscale image or a 3-D numeric array representing a 3-D grayscale volume. Data Types: single double int8 int16 int32 uint8 uint16 uint Spatial referencing information associated with the image to be registered, specified as an imref2d object or imref3d object.

Reference image in the target orientation, specified as numeric matrix representing a 2-D grayscale image or a 3-D numeric array representing a 3-D grayscale volume. The reference image must have the same dimensionality as the image to be registered, moving.

Spatial referencing information associated with the reference fixed image, specified as an imref2d object or imref3d object. Geometric transformation to be applied to the moving image, specified as one of the following values:.

The “similarity” and “affine” transformation types do not support reflection. Data Types: char string.

Image similarity metric to be optimized during registration, specified as a MeanSquares or MattesMutualInformation metric object.

Name-value arguments must appear after other arguments, but the order of the pairs does not matter. Before Ra, use commas to separate each name and value, and enclose Name in quotes. Example: “DisplayOptimization”,1 enables the verbose optimization mode. Verbose optimization flag, specified as the logical value true or false.

Controls whether imregister displays optimization information in the command window during the registration process. Initial geometric transformation, specified as an affinetform2d or affinetform3d object. You can also specify InitialTransformation as an affine2d object or an affine3d.

However, these objects are not recommended. For more information, see Compatibility Considerations. Number of pyramid levels used during the registration process, specified as a positive integer.

Example: “PyramidLevels”,4 sets the number of pyramid levels to 4. Registered image, returned as a 2-D numeric matrix representing a 2-D grayscale image or a 3-D numeric array representing a 3-D grayscale volume. Any fill pixels introduced that do not correspond to locations in the original image are 0. Spatial referencing information associated with the registered image, returned as an imref2d object or imref3d object. Both imregtform and imregister use the same underlying registration algorithm.

Use imregtform when you want access to the geometric transformation that relates moving to fixed. Use imregister when you want a registered output image.

Create an optimizer and metric with the imregconfig function before calling imregister. Getting good results from optimization-based image registration usually requires modifying optimizer or metric settings for the pair of images being registered.

The imregconfig function provides a default configuration that should only be considered a starting point. For example, if you increase the number of iterations in the optimizer, reduce the optimizer step size, or change the number of samples in a stochastic metric, the registration improves to a point, at the expense of performance. See the output of imregconfig for more information on the different parameters that you can modify.

Use imshowpair or imfuse to visualize the results of registration. You can use imregister in an automated workflow to register several images. When you have spatial referencing information about the image to be registered, specify the information to imregister using spatial referencing objects.

This helps imregister converge to better results more quickly because scale differences can be taken into account. Accordingly, you can now specify the InitialTransformation name-value argument as an affinetform2d or affinetform3d object, which supports the premultiply convention. Although you can still specify the InitialTransformation name-value argument as an affine2d or affine3d object, these objects are not recommended because they use the postmultiply convention.

You can streamline your geometric transformation workflows by switching to the affinetform2d or affinetform3d object. Choose a web site to get translated content where available and see local events and offers. Based on your location, we recommend that you select:. Select the China site in Chinese or English for best site performance.

Other MathWorks country sites are not optimized for visits from your location. Toggle Main Navigation. Search MathWorks. Open Mobile Search. Off-Canvas Navigation Menu Toggle. Main Content. Open Live Script. Input Arguments collapse all moving — Image to be registered numeric matrix 3-D numeric array. Rmoving — Spatial referencing information associated with image to be registered imref2d object imref3d object.

Rfixed — Spatial referencing information associated with reference image imref2d object imref3d object. Geometric transformation to be applied to the moving image, specified as one of the following values: Value Description “translation” x , y translation in 2-D, or x , y , z translation in 3-D. DisplayOptimization — Verbose optimization flag false default true. Data Types: logical. InitialTransformation — Initial geometric transformation affinetform2d object affinetform3d object.

Note You can also specify InitialTransformation as an affine2d object or an affine3d. PyramidLevels — Number of pyramid levels used during registration process 3 default positive integer. Data Types: double. Tips Both imregtform and imregister use the same underlying registration algorithm.

You have a modified version of this example. Do you want to open this example with your edits? No, overwrite the modified version Yes.

Select a Web Site Choose a web site to get translated content where available and see local events and offers. Rigid transformation consisting of translation and rotation. Nonreflective similarity transformation consisting of translation, rotation, and scale. Affine transformation consisting of translation, rotation, scale, and shear.