{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,29]],"date-time":"2026-05-29T19:46:30Z","timestamp":1780083990415,"version":"3.54.0"},"reference-count":24,"publisher":"Oxford University Press (OUP)","issue":"11","license":[{"start":{"date-parts":[[2022,9,9]],"date-time":"2022-09-09T00:00:00Z","timestamp":1662681600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61802250"],"award-info":[{"award-number":["61802250"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Local College Capacity Building Project of Shanghai Municipal Science and Technology Commission","award":["20020500700"],"award-info":[{"award-number":["20020500700"]}]},{"name":"Research Fund of Guangxi Key Lab of Multi-source Information Mining & Security","award":["MIMS18-04"],"award-info":[{"award-number":["MIMS18-04"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,11,14]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>In this paper, an image hashing scheme combining 3D space contour (TDSC) features with vector angle (VA) features is proposed. The proposed algorithm extracts the 3D contours of the local component variation features of the image and the expression changes of the local component of the image in the form of a 3D VA to improve the performance. First, the gray component of the color image is used to construct a 3D space and the contour change features of the local component of the gray image are extracted using multi-perspectives. Then, the opposite color component and the brightness component Y of the YCbCr color space are extracted from the input image. The angular features of several image components are, respectively, extracted in the 3D space. Finally, the TDSC features are combined with the VA features to obtain image hashing. The simulations demonstrate and validate that the proposed image hashing scheme not only has better classification performance compared with the other image hashing techniques but is also equipped with the performance of tamper localization.<\/jats:p>","DOI":"10.1093\/comjnl\/bxac127","type":"journal-article","created":{"date-parts":[[2022,9,10]],"date-time":"2022-09-10T05:19:05Z","timestamp":1662787145000},"page":"2844-2859","source":"Crossref","is-referenced-by-count":9,"title":["Robust Image Hashing Combining 3D Space Contour and Vector Angle Features"],"prefix":"10.1093","volume":"66","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7178-5608","authenticated-orcid":false,"given":"Shuai","family":"Liu","sequence":"first","affiliation":[{"name":"College of Electronics & Information Engineering, Shanghai University of Electric Power , Shanghai 200090, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3247-4337","authenticated-orcid":false,"given":"Yan","family":"Zhao","sequence":"additional","affiliation":[{"name":"College of Electronics & Information Engineering, Shanghai University of Electric Power , Shanghai 200090, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2022,9,9]]},"reference":[{"key":"2023111618464710000_ref1","doi-asserted-by":"crossref","first-page":"158","DOI":"10.1080\/02564602.2020.1808098","article-title":"Perceptual color image hashing based on Quaternionic local ranking binary pattern","volume":"38","author":"Liu","year":"2021","journal-title":"IETE Tech. 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