{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,3]],"date-time":"2026-03-03T19:49:17Z","timestamp":1772567357967,"version":"3.50.1"},"reference-count":33,"publisher":"Oxford University Press (OUP)","issue":"9","license":[{"start":{"date-parts":[[2022,7,31]],"date-time":"2022-07-31T00:00:00Z","timestamp":1659225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,9,18]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Image retrieval aims to locate similar image based on given query from large-sized image dataset. In the recent decades, different methods are developed to retrieve similar images, but increasing the retrieval performance is a challenging task. Hence, an effective method named Lion Henry Gas Solubility Optimization-based Deep Fuzzy Clustering (LHGSO-based DFC) is developed to increase the retrieval efficiency of image retrieval. Based on the features extraction, images are indexed efficiently to the corresponding cluster using clustering model. The proposed method retrieves the relevant images with respect to query image based on the similarity. The similarity measure is computed using Jaro Winkler distance, in which the images corresponding to the cluster that have higher similarity measure is retrieved more effectively. The proposed method achieved higher performance in terms of the metrics, like F-measure, precision and recall with the values of 0.887, 0.891 and 0.882.<\/jats:p>","DOI":"10.1093\/comjnl\/bxac070","type":"journal-article","created":{"date-parts":[[2022,7,7]],"date-time":"2022-07-07T21:27:20Z","timestamp":1657229240000},"page":"2191-2207","source":"Crossref","is-referenced-by-count":11,"title":["Feature Extraction Based Deep Indexing by Deep Fuzzy Clustering for Image Retrieval Using Jaro Winkler Distance"],"prefix":"10.1093","volume":"66","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1861-6500","authenticated-orcid":false,"given":"B Mathan","family":"Kumar","sequence":"first","affiliation":[{"name":"Department of Information Technology, PSNA College of Engineering and Technology , Dindigul 624622, Tamil Nadu, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3140-2972","authenticated-orcid":false,"given":"Bharati S","family":"Ainapure","sequence":"additional","affiliation":[{"name":"Department of Computer Engineering, Vishwakarma University , Laxmi Nagar, Kondhwa, Pune 411048, Maharashtra, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0463-4911","authenticated-orcid":false,"given":"Suryabhan Pratap","family":"Singh","sequence":"additional","affiliation":[{"name":"Departement of Information Technology, I.E.T., D.D.U. 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Sci."},{"key":"2023091720461140600_ref10","doi-asserted-by":"crossref","first-page":"490","DOI":"10.1049\/iet-bmt.2017.0160","article-title":"Grey wolf optimisation-based feature selection and classification for facial emotion recognition","volume":"7","author":"NinuPreetha","year":"2018","journal-title":"IET Biometrics"},{"key":"2023091720461140600_ref11","doi-asserted-by":"crossref","DOI":"10.2196\/18599","article-title":"Role of artificial intelligence in patient safety outcomes: systematic literature review","volume":"8","author":"Choudhury","year":"2020","journal-title":"JMIR Med. 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Fuzzy Syst."},{"key":"2023091720461140600_ref15","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1016\/j.neucom.2012.10.021","article-title":"An efficient indexing method for content-based image retrieval","volume":"106","author":"Feng","year":"2013","journal-title":"Neurocomputing"},{"key":"2023091720461140600_ref16","first-page":"1106","volume-title":"Annual Conference on Neural Information Processing Systems","author":"Krizhevsky","year":"2012"},{"key":"2023091720461140600_ref17","volume-title":"Informatics Engineering and Information Science","author":"Prasanalakshmi","year":"2011"},{"key":"2023091720461140600_ref18","first-page":"1","article-title":"Graph convolutional network hashing","author":"Zhou","year":"2018","journal-title":"IEEE Trans. Cybern."},{"key":"2023091720461140600_ref19","doi-asserted-by":"crossref","first-page":"2424","DOI":"10.1109\/TPAMI.2019.2914897","article-title":"Hashing with mutual information","volume":"41","author":"Akir","year":"2019","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"2023091720461140600_ref20","first-page":"2156","volume-title":"AAAI Conference on Artificial Intelligence","author":"Xia","year":"2014"},{"key":"2023091720461140600_ref21","doi-asserted-by":"crossref","first-page":"7872","DOI":"10.1109\/TGRS.2020.2984703","article-title":"Similarity-based unsupervised deep transfer learning for remote sensing image retrieval","volume":"58","author":"Liu","year":"2020","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"2023091720461140600_ref22","article-title":"Deep transfer hashing for image retrieval","author":"Zhai","year":"2020","journal-title":"IEEE Trans. Circuits Syst. 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Fuzzy Syst."},{"key":"2023091720461140600_ref31","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1016\/j.jcde.2015.06.003","article-title":"Lion optimization algorithm (LOA): a nature-inspired metaheuristic algorithm","volume":"3","author":"Yazdani","year":"2016","journal-title":"J. Comput. Design Eng."},{"key":"2023091720461140600_ref32","doi-asserted-by":"crossref","first-page":"646","DOI":"10.1016\/j.future.2019.07.015","article-title":"Henry gas solubility optimization: a novel physics-based algorithm","volume":"101","author":"Hashim","year":"2019","journal-title":"Futur. Gener. Comput. 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