Grey-Wolf-Based Wang’s Demons for Retinal Image Registration
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, f...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-06-01
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| Series: | Entropy |
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| Online Access: | https://www.mdpi.com/1099-4300/22/6/659 |
| _version_ | 1797565277345415168 |
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| author | Sayan Chakraborty Ratika Pradhan Amira S. Ashour Luminita Moraru Nilanjan Dey |
| author_facet | Sayan Chakraborty Ratika Pradhan Amira S. Ashour Luminita Moraru Nilanjan Dey |
| author_sort | Sayan Chakraborty |
| collection | DOAJ |
| description | 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<sup>−5</sup>. |
| first_indexed | 2024-03-10T19:09:50Z |
| format | Article |
| id | doaj.art-1512120937a744da983540cbb6519b22 |
| institution | Directory Open Access Journal |
| issn | 1099-4300 |
| language | English |
| last_indexed | 2024-03-10T19:09:50Z |
| publishDate | 2020-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Entropy |
| spelling | doaj.art-1512120937a744da983540cbb6519b222023-11-20T03:53:43ZengMDPI AGEntropy1099-43002020-06-0122665910.3390/e22060659Grey-Wolf-Based Wang’s Demons for Retinal Image RegistrationSayan Chakraborty0Ratika Pradhan1Amira S. Ashour2Luminita Moraru3Nilanjan Dey4Department of Computer Applications, SMIT, Sikkim Manipal University, Sikkim 737136, IndiaDepartment of Computer Applications, SMIT, Sikkim Manipal University, Sikkim 737136, IndiaDepartment of Electronics and Electrical Communications Engineering, Faculty of Engineering, Tanta University, Tanta 31527, EgyptDepartment of Chemistry, Physics & Environment, Faculty of Sciences and Environment, Dunarea de Jos University of Galati, 47 Domneasca Str., 800008 Galati, RomaniaDepartment of Information Technology, Techno International New Town, West Bengal 700156, IndiaImage 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<sup>−5</sup>.https://www.mdpi.com/1099-4300/22/6/659demons registrationfirefly algorithmcuckoo searchgrey-wolf optimizationcorrelationimage registration |
| spellingShingle | Sayan Chakraborty Ratika Pradhan Amira S. Ashour Luminita Moraru Nilanjan Dey Grey-Wolf-Based Wang’s Demons for Retinal Image Registration Entropy demons registration firefly algorithm cuckoo search grey-wolf optimization correlation image registration |
| title | Grey-Wolf-Based Wang’s Demons for Retinal Image Registration |
| title_full | Grey-Wolf-Based Wang’s Demons for Retinal Image Registration |
| title_fullStr | Grey-Wolf-Based Wang’s Demons for Retinal Image Registration |
| title_full_unstemmed | Grey-Wolf-Based Wang’s Demons for Retinal Image Registration |
| title_short | Grey-Wolf-Based Wang’s Demons for Retinal Image Registration |
| title_sort | grey wolf based wang s demons for retinal image registration |
| topic | demons registration firefly algorithm cuckoo search grey-wolf optimization correlation image registration |
| url | https://www.mdpi.com/1099-4300/22/6/659 |
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