Improving Image Registration Accuracy through User Interaction

Bachelor thesis (2022)

Authors

V. Groen Electrical Engineering, Mathematics and Computer Science

Contributors

R.T. Wiersma Computer Graphics and Visualisation - EEMCS (supervisor 1)
Ricardo Marroquim Computer Graphics and Visualisation - EEMCS (supervisor 1)
E. Eisemann Computer Graphics and Visualisation - EEMCS (supervisor 1)
C. Lofi Web Information Systems - EEMCS (supervisor 2)
Faculty
Electrical Engineering, Mathematics and Computer Science
Copyright: © 2022 Vincent Groen
Image Registration User Interaction Parameter Optimization
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Published Date

23-06-2022

Language

English

Reuse Rights

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Faculty

Electrical Engineering, Mathematics and Computer Science

Abstract

The current state-of-the-art image alignment techniques and their input parameters are often unintuitive to those without the required background knowledge.
This work aims to provide users with a graphical user interface through which they can intuitively influence the parameters and results of the algorithm by excluding certain areas from the images.
The application is also capable of automatically optimizing the parameters of the underlying registration algorithm.
Experimental results indicate that the automatic parameter optimization results in alignments at least as good as the default parameters, but that the introduced user interaction does not provide any major benefits.

Files

Research_Paper.pdf
(.pdf | 7.99 Mb)