Abstract
Background: Image registration provides major role in real world applications and classic
digital image processing. Image registration is carried out for more than one image and this image
was captured from a different location, different sensors, different time and different viewpoints.
Discussion: This paper deals with the comparative analysis of various registration techniques and
here six registration techniques depending upon intensity, phase correlation, image feature, area,
control points and mutual information are compared. Comparative analysis for different methodologies
shows the advantages of one method over the other methods. The foremost objective of this
paper is to deliver a complete reference source for the scholars interested in registration, irrespective
of specific application extents.
Conclusion: Finally performance analyses are evaluated for the medical datasets and comparison is
graphically shown with the MATLAB simulation tool.
Keywords:
Image registration, transformation, feature detection, similarity measure, optimization, MATLAB.
Graphical Abstract
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