Robust Image Hashing Using Radon Transform and Invariant Features

dc.contributor.authorLiu, Yuling
dc.contributor.authorXin, Guojiang
dc.contributor.authorXiao, Yong
dc.coverage.issue3cs
dc.coverage.volume25cs
dc.date.accessioned2016-09-19T08:40:27Z
dc.date.available2016-09-19T08:40:27Z
dc.date.issued2016-09cs
dc.description.abstractA robust image hashing method based on radon transform and invariant features is proposed for image authentication, image retrieval, and image detection. Specifically, an input image is firstly converted into a counterpart with a normalized size. Then the invariant centroid algorithm is applied to obtain the invariant feature point and the surrounding circular area, and the radon transform is employed to acquire the mapping coefficient matrix of the area. Finally, the hashing sequence is generated by combining the feature vectors and the invariant moments calculated from the coefficient matrix. Experimental results show that this method not only can resist against the normal image processing operations, but also some geometric distortions. Comparisons of receiver operating characteristic (ROC) curve indicate that the proposed method outperforms some existing methods in classification between perceptual robustness and discrimination.en
dc.formattextcs
dc.format.extent556-564cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationRadioengineering. 2016 vol. 25, č. 3, s. 556-564. ISSN 1210-2512cs
dc.identifier.doi10.13164/re.2016.0556en
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/63201
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttp://www.radioeng.cz/fulltexts/2016/16_03_0556_0564.pdfcs
dc.rightsCreative Commons Attribution 3.0 Unported Licenseen
dc.rights.accessopenAccessen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/en
dc.subjectImage hashingen
dc.subjectradon transformen
dc.subjectinvariant centroiden
dc.subjectinvariant momentsen
dc.titleRobust Image Hashing Using Radon Transform and Invariant Featuresen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
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