Registration Estimator

Register 2-D grayscale images

Description

The Registration Estimator app aligns 2-D grayscale images using automatic image registration. Using this app, you can:

• Compare feature-based, intensity-based, and nonrigid registration techniques interactively

• Obtain the registered image and the geometric transformation

More

Feature-Based Techniques

Registration Estimator offers these registration techniques that use feature detection and matching:

• BRISK

• FAST

• Harris

• KAZE

• MinEigen

• MSER

• ORB

• SURF

Intensity-Based Techniques

Registration Estimator offers three registration techniques that use intensity metric optimization:

• Monomodal intensity

• Multimodal intensity

• Phase correlation

For more details of the available techniques, see Techniques Supported by Registration Estimator.

×

Open the Registration Estimator App

• MATLAB^® Toolstrip: On the Apps tab, under Image Processing and Computer Vision, click the Registration Estimator app icon.

• MATLAB command prompt: Enter registrationEstimator.

Examples

• Register Images Using Registration Estimator App

Programmatic Use

registrationEstimator

registrationEstimator opens the Registration Estimator app, which enables you to perform intensity-based, feature-based, and nonrigid image registration.

registrationEstimator(moving,fixed)

registrationEstimator(moving,fixed) opens the Registration Estimator, loading the grayscale images moving and fixed into the app.

registrationEstimator close

registrationEstimator close closes all open instances of the Registration Estimator app.

Version History

Introduced in R2017a

R2021a: Support for KAZE and ORB registration techniques

The app now supports two additional registration techniques: KAZE and ORB.

The KAZE technique is a multiscale 2-D feature detection and description algorithm in nonlinear scale spaces.

The ORB technique detects corners in images with changes in scale, rotations, or both.