Aline images using reference markers

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

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