"Data Science for Health (DS4H) Image Alignment" is a user-friendly tool freely provided as an ImageJ/Fiji plugin. With DS4H Image Alignment, 2D images can be easily aligned (i.e. registered) by defining with a few clicks some well visible reference marks, or by using automatic routines.
DS4H Image Alignment has been implemented in Java 8 as a plugin for ImageJ/Fiji. This plugin can run on MacOs, Windows and Linux.
In order to align the images first of all we have to load the images inside the Java Application. This operation can be done in two ways:
- By using the File -> Load Images, with the use of a file chooser you will be able to load 1 or more images. Be carefull if there are no images inside the project and you try to load a single Image you will get an error, but if you do the same operation but there are other images inside the project you will be able to load the choosed image.
- By using the Project -> Import
The manual alignment algorithm used inside this plugin are three:
- Translational Alignment
- Perspective Alignment
- Affine Alignment
The automatic alignment use what is called a Point Detector. A Point Detector is a class used for the detection of points for the alignment of the images. The Point Detector used inside this project are:
- ORB
- SIFT
- SURF
DS4H Image Alignment can be installed easily, on Windows, Linux and Apple Silicon M1 and Intel Based Mac (Mac-ImageJ is the ARM version, Mac-Fiji is the x86 Intel version). In order to use our tool, you can just download the version that you need for your pc, copy the jar inside the "plugins" folder of ImageJ/Fiji. You will find in the ImageJ/Fiji Plugin voice out tool, DS4H Image Alignment
TO BE DONE
We thanks all the University Students that helped in this project. In particular:
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Fabio Vincenzi, Bachelor's Degree Student in Engineering and Computer Sciences, Alma Mater Studiorum University of Bologna, Italy
email : fabio.vincenzi2001@gmail.com,
Linkedin : https://www.linkedin.com/in/fabio-vincenzi-b53a5a1a1/
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Matteo Iorio, Bachelor's Degree Student in Engineering and Computer Sciences, Alma Mater Studiorum University of Bologna, Italy
email : matteo.iorio01@gmail.com,
Linkedin : https://www.linkedin.com/in/matteo-iorio-1257621b4/
The Data Science for Health (DS4H) group:
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Antonella Carbonaro, Department of Computer Science and Engineering (DISI), University of Bologna, Bologna, Italy,
email: antonella.carbonaro@unibo.it
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Filippo Piccinini, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, Meldola (FC), Italy,