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imregcorr

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

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Syntax

tform = imregcorr(moving,fixed)
tform = imregcorr(moving,fixed,transformtype)
tform = imregcorr(moving,Rmoving,fixed,Rfixed,___)
tform = imregcorr(___,Name,Value,___)

Description

example

tform = imregcorr(moving,fixed) estimates the geometric transformation that aligns an image, moving, with a reference image, fixed. The function returns a geometric transformation object, tform, that maps pixels in moving to pixels in fixed.

tform = imregcorr(moving,fixed,transformtype) estimates the geometric transformation, where transformtype is a string scalar or character vector that specifies the type of transformation.

tform = imregcorr(moving,Rmoving,fixed,Rfixed,___) estimates the geometric transformation that aligns an image, 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.

tform = imregcorr(___,Name,Value,___) registers the moving image to the fixed image using name-value pairs to control various aspects of the registration algorithm.

Examples

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Open Live Script

Read a reference image into the workspace.

fixed  = imread('cameraman.tif');

Create a synthetic moving image by scaling and rotating the fixed image.

theta = 20;
S = 2.3;
tform = affine2d([S.*cosd(theta) -S.*sind(theta) 0; ...
                  S.*sind(theta)  S.*cosd(theta) 0; ...
                  0 0 1]);
moving = imwarp(fixed,tform);
moving = moving + uint8(10*rand(size(moving)));

Display the fixed and the moving image alongside each other.

imshowpair(fixed,moving,'montage')

Estimate the transformation needed to align the images using imregcorr.

tformEstimate = imregcorr(moving,fixed);

Apply estimated geometric transform to the moving image. This example uses the 'OutputView' parameter to obtain a registered image the same size and with the same world limits as the reference image. 

Rfixed = imref2d(size(fixed));
movingReg = imwarp(moving,tformEstimate,'OutputView',Rfixed);

View the original image and the registered image side-by-side to check the registration. Then view the registered image overlaid on the original using the 'falsecolor' option to highlight any areas where the images differ.

imshowpair(fixed,movingReg,'montage')

imshowpair(fixed,movingReg,'falsecolor');

Input Arguments

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Image to be registered, specified as a grayscale, binary, or RGB image. If you specify an RGB image, imregcorr converts it to a grayscale image using rgb2gray before processing.

Note

The aspect ratio of moving affects the output transform tform. For best results, use a square image.

Data Types: single | double | int8 | int16 | int32 | uint8 | uint16 | uint32 | logical

Reference image in the target orientation, specified as a grayscale, binary, or RGB image. If you specify an RGB image, imregcorr converts it to a grayscale image using rgb2gray before processing.

Note

The aspect ratio of fixed affects the output transform tform. For best results, use a square image.

Data Types: single | double | int8 | int16 | int32 | uint8 | uint16 | uint32 | logical

Type of transformation to estimate, specified as one of the following values.

ValueDescription
'translation'Translation
'rigid'Translation and rotation
'similarity'Translation, rotation, and scaling

When using the 'similarity' option, the phase correlation algorithm is only scale invariant within some range of scale difference between the fixed and moving images. imregcorr limits the search space to scale differences within the range [1/4, 4]. imregcorr does not detect scale differences less than 1/4 or greater than 4.

Data Types: char | string

Spatial referencing information associated with the image to be registered, specified as an imref2d object.

Spatial referencing information associated with the reference (fixed) image, specified as an imref2d object.

Name-Value Pair Arguments

Specify optional comma-separated pairs of Name,Value arguments. Name is the argument name and Value is the corresponding value. Name must appear inside quotes. You can specify several name and value pair arguments in any order as Name1,Value1,...,NameN,ValueN.

Example: tformEstimate = imregcorr(moving,fixed,'Window',true);

Logical flag to control use of windowing to suppress spectral leakage effects in frequency domain, specified as the comma-separated pair consisting of 'Window' and a logical scalar. When set to true, imregcorr uses a Blackman window to increase the stability of registration results. If the common features you are trying to align in your images are oriented along the edges, setting 'Window' to false can sometimes provide superior registration results.

Example: tformEstimate = imregcorr(moving,fixed,'Window',true);

Data Types: logical

Output Arguments

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Geometric transformation, returned as a geometric transformation object of type affine2d.

Tips

  • If your image is of type double, you can achieve performance improvements by casting the image to single with im2single before registration. Input images of type double cause the algorithm to compute FFTs in double.

References

[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

Extended Capabilities

C/C++ Code Generation
Generate C and C++ code using MATLAB® Coder™.

See Also

Apps

Functions

Introduced in R2014a

Image Processing Toolbox Documentation

Support

介绍通过 MATLAB 完成深度学习

介绍通过 MATLAB 完成深度学习

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