Version 1
: Received: 9 May 2020 / Approved: 10 May 2020 / Online: 10 May 2020 (16:11:54 CEST)
How to cite:
Chakraborty, S.; Pradhan, R.; Ashour, A.S.; Moraru, L.; Dey, N. Grey Wolf Based Wang’s Demons for Retinal Image Registration. Preprints2020, 2020050173. https://doi.org/10.20944/preprints202005.0173.v1
Chakraborty, S.; Pradhan, R.; Ashour, A.S.; Moraru, L.; Dey, N. Grey Wolf Based Wang’s Demons for Retinal Image Registration. Preprints 2020, 2020050173. https://doi.org/10.20944/preprints202005.0173.v1
Chakraborty, S.; Pradhan, R.; Ashour, A.S.; Moraru, L.; Dey, N. Grey Wolf Based Wang’s Demons for Retinal Image Registration. Preprints2020, 2020050173. https://doi.org/10.20944/preprints202005.0173.v1
APA Style
Chakraborty, S., Pradhan, R., Ashour, A.S., Moraru, L., & Dey, N. (2020). Grey Wolf Based Wang’s Demons for Retinal Image Registration. Preprints. https://doi.org/10.20944/preprints202005.0173.v1
Chicago/Turabian Style
Chakraborty, S., Luminita Moraru and Nilanjan Dey. 2020 "Grey Wolf Based Wang’s Demons for Retinal Image Registration" Preprints. https://doi.org/10.20944/preprints202005.0173.v1
Abstract
Image registration has an imperative role in medical imaging. In this work, a grey-wolf optimizer (GWO) based non-rigid demons registration is proposed to support the retinal image registration process. A comparative study of the proposed GWO-based demons registration framework with cuckoo search, firefly algorithm, and particle swarm optimization- based demons registration is conducted. In addition, a comparative analysis of different demons registration methods, such as Wang’s demons, Tang’s demons, and Thirion’s demons which are optimized using the proposed GWO is carried out. The results established the superiority of the GWO-based framework which achieved 0.9977 correlation, and fast processing compared to the use of the other optimization algorithms. Moreover, GWO-based Wang’s demons performed better accuracy compared to the Tang’s demons and Thirion’s demons framework. It also achieved the best less registration error of 8.36×10-5.
Computer Science and Mathematics, Data Structures, Algorithms and Complexity
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Commenter:
The commenter has declared there is no conflict of interests.