Register Images Interactively

Register Images Using the Registration Estimator App

This example shows how to use the Registration Estimator app to align a pair of images.

• Load Images into Registration Estimator App
• Tune Registration Settings in Registration Estimator App
• Export the Results from Registration Estimator App

Techniques Supported by Registration Estimator App

Registration Estimator app provides ten algorithms for feature-based, intensity-based, and nonrigid registration.

Register Images Using Intensity-Based Optimization

Intensity-Based Automatic Image Registration

Intensity-based automatic image registration uses a similarity metric, an optimizer, and a transformation type to register two images iteratively.

Create an Optimizer and Metric for Intensity-Based Image Registration

Select an image metric and an optimizer suitable for either monomodal or multimodal images.

Use Phase Correlation as Preprocessing Step in Registration

Phase correlation is useful to estimate an initial transformation when images are severely misaligned.

Register Multimodal MRI Images

This example shows how to align two multimodal MRI images to a common coordinate system using automatic intensity-based image registration.

Register Multimodal 3-D Medical Images

This example shows how to align two volumetric images using automatic intensity-based image registration.

Registering an Image Using Normalized Cross-Correlation

This example shows how to determine the translation needed to align a cropped subset of an image with the larger image.

Register Images Using Control Point Mapping

Control Point Registration

To determine the parameters of a transformation, you can pick corresponding points in a pair of images.

Geometric Transformation Types for Control Point Registration

Control point registration can infer the parameters for nonreflective similarity, affine, projective, polynomial, piecewise linear, and local weighted mean transformations.

Control Point Selection Procedure

To specify control points in a pair of images interactively, use the Control Point Selection Tool.

• Start the Control Point Selection Tool
• Find Visual Elements Common to Both Images
• Select Matching Control Point Pairs
• Export Control Points to the Workspace

Find Image Rotation and Scale

This example shows how to use control points to align two images that differ by a rotation and scale change.

Use Cross-Correlation to Improve Control Point Placement

Fine-tune your control point selections using cross-correlation.

Registering an Aerial Photo to an Orthophoto

This example shows how to use control point mapping to register two images with a projective transformation.