Improved Reptile Search Algorithm by Salp Swarm Algorithm for Medical Image Segmentation
This study proposes a novel nature-inspired meta-heuristic optimizer based on the Reptile Search Algorithm combed with Salp Swarm Algorithm for image segmentation using gray-scale multi-level thresholding, called RSA-SSA. The proposed method introduces a better search space to find the optimal solut...
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| Other Authors: | , , , , , |
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2023
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| Online Access: | https://depot.sorbonne.ae/handle/20.500.12458/1385 |
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| _version_ | 1857415065155665920 |
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| author | Abualigah, Laith |
| author2 | Habash, Mahmoud Hanandeh, Essam Said Hussein, Ahmad MohdAziz Al Shinwan, Mohammad Abu Zitar, Raed Jia, Heming |
| author2_role | author author author author author author |
| author_facet | Abualigah, Laith Habash, Mahmoud Hanandeh, Essam Said Hussein, Ahmad MohdAziz Al Shinwan, Mohammad Abu Zitar, Raed Jia, Heming |
| author_role | author |
| dc.creator.none.fl_str_mv | Abualigah, Laith Habash, Mahmoud Hanandeh, Essam Said Hussein, Ahmad MohdAziz Al Shinwan, Mohammad Abu Zitar, Raed Jia, Heming |
| dc.date.none.fl_str_mv | 2023-02-08T05:19:46Z 2023-02-08T05:19:46Z 2023 |
| dc.identifier.none.fl_str_mv | https://depot.sorbonne.ae/handle/20.500.12458/1385 10.1007/s42235-023-00332-2 |
| dc.language.none.fl_str_mv | en |
| dc.relation.none.fl_str_mv | Journal of Bionic Engineering |
| dc.subject.none.fl_str_mv | Bioinspired Reptile Search Algorithm Salp Swarm Algorithm Multi-level thresholding Image segmentation Meta-heuristic algorithm |
| dc.title.none.fl_str_mv | Improved Reptile Search Algorithm by Salp Swarm Algorithm for Medical Image Segmentation |
| dc.type.none.fl_str_mv | Controlled Vocabulary for Resource Type Genres::text::periodical::journal::contribution to journal::journal article |
| description | This study proposes a novel nature-inspired meta-heuristic optimizer based on the Reptile Search Algorithm combed with Salp Swarm Algorithm for image segmentation using gray-scale multi-level thresholding, called RSA-SSA. The proposed method introduces a better search space to find the optimal solution at each iteration. However, we proposed RSA-SSA to avoid the searching problem in the same area and determine the optimal multi-level thresholds. The obtained solutions by the proposed method are represented using the image histogram. The proposed RSA-SSA employed Otsu’s variance class function to get the best threshold values at each level. The performance measure for the proposed method is valid by detecting fitness function, structural similarity index, peak signal-to-noise ratio, and Friedman ranking test. Several benchmark images of COVID-19 validate the performance of the proposed RSA-SSA. The results showed that the proposed RSA-SSA outperformed other metaheuristics optimization algorithms published in the literature. |
| id | sorbonner_39ef39a18b4027ef3b79e84d5949c8f5 |
| identifier_str_mv | 10.1007/s42235-023-00332-2 |
| language_invalid_str_mv | en |
| network_acronym_str | sorbonner |
| network_name_str | Sorbonne University Abu Dhabi repository |
| oai_identifier_str | oai:depot.sorbonne.ae:20.500.12458/1385 |
| publishDate | 2023 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Improved Reptile Search Algorithm by Salp Swarm Algorithm for Medical Image SegmentationAbualigah, LaithHabash, MahmoudHanandeh, Essam SaidHussein, Ahmad MohdAzizAl Shinwan, MohammadAbu Zitar, RaedJia, HemingBioinspiredReptile Search AlgorithmSalp Swarm AlgorithmMulti-level thresholdingImage segmentationMeta-heuristic algorithmThis study proposes a novel nature-inspired meta-heuristic optimizer based on the Reptile Search Algorithm combed with Salp Swarm Algorithm for image segmentation using gray-scale multi-level thresholding, called RSA-SSA. The proposed method introduces a better search space to find the optimal solution at each iteration. However, we proposed RSA-SSA to avoid the searching problem in the same area and determine the optimal multi-level thresholds. The obtained solutions by the proposed method are represented using the image histogram. The proposed RSA-SSA employed Otsu’s variance class function to get the best threshold values at each level. The performance measure for the proposed method is valid by detecting fitness function, structural similarity index, peak signal-to-noise ratio, and Friedman ranking test. Several benchmark images of COVID-19 validate the performance of the proposed RSA-SSA. The results showed that the proposed RSA-SSA outperformed other metaheuristics optimization algorithms published in the literature.2023-02-08T05:19:46Z2023-02-08T05:19:46Z2023Controlled Vocabulary for Resource Type Genres::text::periodical::journal::contribution to journal::journal articlehttps://depot.sorbonne.ae/handle/20.500.12458/138510.1007/s42235-023-00332-2enJournal of Bionic Engineeringoai:depot.sorbonne.ae:20.500.12458/13852023-02-08T05:19:47Z |
| spellingShingle | Improved Reptile Search Algorithm by Salp Swarm Algorithm for Medical Image Segmentation Abualigah, Laith Bioinspired Reptile Search Algorithm Salp Swarm Algorithm Multi-level thresholding Image segmentation Meta-heuristic algorithm |
| title | Improved Reptile Search Algorithm by Salp Swarm Algorithm for Medical Image Segmentation |
| title_full | Improved Reptile Search Algorithm by Salp Swarm Algorithm for Medical Image Segmentation |
| title_fullStr | Improved Reptile Search Algorithm by Salp Swarm Algorithm for Medical Image Segmentation |
| title_full_unstemmed | Improved Reptile Search Algorithm by Salp Swarm Algorithm for Medical Image Segmentation |
| title_short | Improved Reptile Search Algorithm by Salp Swarm Algorithm for Medical Image Segmentation |
| title_sort | Improved Reptile Search Algorithm by Salp Swarm Algorithm for Medical Image Segmentation |
| topic | Bioinspired Reptile Search Algorithm Salp Swarm Algorithm Multi-level thresholding Image segmentation Meta-heuristic algorithm |
| url | https://depot.sorbonne.ae/handle/20.500.12458/1385 |