Adjusted Fireworks Algorithm Applied to Retinal Image Registration

Eva TUBA¹, Milan TUBA¹, Edin DOLICANIN²¹ Graduate School of Computer Science, John Naisbitt University,
Bul. umetnosti 29, Belgrade, 11070, Serbia.
etuba@acm.org; tuba@ieee.org
² Dept. of Technical Sciences, State University of Novi Pazar,
Vuka Karadzica bb, Novi Pazar, 36300, Serbia.
edin@np.ac.rs

ABSTRACT: Image registration is an important problem in image processing, especially in medical imaging. It is a hard optimization problem with objective function that is not appropriate for deterministic mathematical optimization. In this paper we propose a bi-resolution algorithm for rigid image registration based on recent fireworks algorithm. We tested our approach on retinal images from standard benchmark datasets and compared the results with other approaches from literature. Our proposed algorithm succeeded in registering images in all cases, and was more accurate than other compared methods.

KEYWORDS: Image registration, Medical image processing, Fireworks algorithm, Swarm intelligence.

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CITE THIS PAPER AS:
Eva TUBA, Milan TUBA, Edin DOLICANIN, Adjusted Fireworks Algorithm Applied to Retinal Image Registration, Studies in Informatics and Control, ISSN 1220-1766, vol. 26(1), pp. 33-42, 2017. https://doi.org/10.24846/v26i1y201704