Register 2-D grayscale images
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
Registration Estimator offers these registration techniques that use feature detection and matching:
Registration Estimator offers three registration techniques that use intensity metric optimization:
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 opens the Registration Estimator app,
which enables you to perform intensity-based, feature-based, and nonrigid image
opens the Registration Estimator, loading the grayscale images
fixed into the app.
registrationEstimator close closes all open instances of the
Registration Estimator app.
Version HistoryIntroduced 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.