.: Click here to download :.
In computer vision, sets of data acquired by sampling the same scene or object at different times,
or from different perspectives, will be in different coordinate systems. Image registration is the
process of transforming the different sets of data into one coordinate system. Registration is
necessary in order to be able to compare or integrate the data obtained from different measurements.
In medical imaging (e.g. for data of the same patient taken at different points in time) registration
often additionally involves elastic (or nonrigid) registration to cope with elastic deformations of
the body parts imaged. Nonrigid registration of medical images can also be used to register a patient's
data to an anatomical atlas.
We have developed an easy and accurate registration scheme invariant
to scale, rotation and translation based on a hybrid approach that works in both the frequency
domain and the time domain.
Index Terms: Matlab, image registration, image alignment, rotation, scaling, translation, RST, phase correlation.
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Figure 1. Medical image registration |
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A simple and effective source code for Image Registration Technique for Recovering Rotation, Scale and Translation. |
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Demo code (protected
P-files) available for performance evaluation. Matlab Image Processing Toolbox is required. |
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Release |
Date |
Major features |
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1.0 |
2006.10.01 |
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We recommend to check the secure connection to PayPal, in order to avoid any fraud. This donation has to be considered an encouragement to improve the code itself. |
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Image Registration - Release 1.0 - Click here for
your donation. In order to obtain the source code you
have to pay a little sum of money: 20 EUROS (less
than 28 U.S. Dollars). |
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Once you have done this, please email us luigi.rosa@tiscali.it As soon as possible (in a few days) you will receive our new release of RST-Invariant Image Registration. Alternatively, you can bestow using our banking coordinates:
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The authors have no relationship or partnership
with The Mathworks. All the code provided is written in Matlab
language (M-files and/or M-functions), with no dll or other
protected parts of code (P-files or executables). The code was
developed with Matlab 14 SP1. Matlab Image Processing Toolbox is required.
The code provided has to be considered "as is" and it is without any kind of warranty. The
authors deny any kind of warranty concerning the code as well
as any kind of responsibility for problems and damages which may
be caused by the use of the code itself including all parts of
the source code.
