Aline images using reference markers

Hello, I am using MATLAB to do some image processing.

In the processing, I need to aline images properly so that each region on a physical model can be compared to the same region in another image which was taken at different times. In order to do so, I drew some reference markers on the physical model.

Is there any function or common way to aline images by translating, rotating and/or re-sizing to aline images?

Thank you for cooperating.

Answer 1

[Image Analyst]

help cpselect

 cpselect - Control Point Selection tool
    This MATLAB function starts the Control Point Selection tool that
    enables you to select control points in two related images.

    Syntax
      cpselect(moving,fixed)
      cpselect(moving,fixed,initialMovingPoints,initialFixedPoints)
      cpselect(moving,fixed,cpstruct_in)
      h = cpselect(___)
      h = cpselect(___,'Wait',false)
      [selectedMovingPoints,selectedFixedPoints] = cpselect(___,'Wait',true)

    Input Arguments
      moving - Input image to be aligned
        grayscale image | truecolor image | binary image |
        character vector | string
      fixed - Reference image
        grayscale image | truecolor image | binary image |
        character vector | string
      cpstruct_in - Preselected control points
        structure
      initialMovingPoints - Preselected control points on moving image
        m-by-2 numeric array
      initialFixedPoints - Preselected control points on fixed image
        m-by-2 numeric array

    Output Arguments
      h - Control Point Selection tool
        handle
      selectedMovingPoints - Selected control points on moving image
        p-by-2 numeric array
      selectedFixedPoints - Selected control points on fixed image
        p-by-2 numeric array

    Examples
      openExample('images/StartControlPointSelectionToolWithSaveImagesExample')
      openExample('images/OpenControlPointSelectionToolWithPredefinedControlPointsExample')

    See also cpcorr, fitgeotform2d, imwarp, cpstruct2pairs

    Introduced in Image Processing Toolbox before R2006a
    Documentation for cpselect
       doc cpselect

help imregister

 imregister - Intensity-based image registration
    This MATLAB function transforms the 2-D or 3-D grayscale image, moving,
    so that it is registered with the reference image, fixed.

    Syntax
      moving_reg = imregister(moving,fixed,transformType,optimizer,metric)
      [moving_reg,R_reg] = imregister(moving,Rmoving,fixed,Rfixed,transformType,optimizer,metric)
      ___ = imregister(___,Name,Value)

    Input Arguments
      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
      fixed - Reference image
        numeric matrix | 3-D numeric array
      Rfixed - Spatial referencing information associated with reference
      image
        imref2d object | imref3d object
      transformType - Geometric transformation to be applied to image to be
      registered
        "translation" | "rigid" | "similarity" | "affine"
      optimizer - Method for optimizing similarity metric
        RegularStepGradientDescent or OnePlusOneEvolutionary optimizer object
      metric - Image similarity metric to be optimized during registration
        MeanSquares or MattesMutualInformation metric object

    Name-Value Arguments
      DisplayOptimization - Verbose optimization flag
        false (default) | true
      InitialTransformation - Initial geometric transformation
        affinetform2d object | affinetform3d object
      PyramidLevels - Number of pyramid levels used during registration
      process
        3 (default) | positive integer

    Output Arguments
      moving_reg - Registered image
        numeric matrix | 3-D numeric array
      R_reg - Spatial referencing information associated with registered
      image
        imref2d object | imref3d object

    Examples
      openExample('images/RegisterMultimodalMRIImagesWithOptimizerExample')

    See also Registration Estimator, imregconfig, imregcorr, imregtform,
      imwarp, imshowpair, imfuse, imregicp

    Introduced in Image Processing Toolbox in R2012a
    Documentation for imregister
       doc imregister