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dc.contributor.authorSharma, Puneet
dc.date.accessioned2022-04-11T11:55:17Z
dc.date.available2022-04-11T11:55:17Z
dc.date.issued2020-04-04
dc.description.abstractIn this paper, we propose a new feature descriptor for images that is based on the dihedral group D<sub>4</sub>, the symmetry group of the square. The group action of the D<sub>4</sub> elements on a square image region is used to create a vector space that forms the basis for the feature vector. For the evaluation, we employed the Error-Correcting Output Coding (ECOC) algorithm and tested our model with four diverse datasets. The results from the four databases used in this paper indicate that the feature vectors obtained from our proposed D<sub>4</sub> algorithm are comparable in performance to that of Histograms of Oriented Gradients (HOG) model. Furthermore, as the D<sub>4</sub> model encapsulates a complete set of orientations pertaining to the D<sub>4</sub> group, it enables its generalization to a wide range of image classification applications.en_US
dc.identifier.citationSharma. Dihedral Group D4—A New Feature Extraction Algorithm. Symmetry. 2020;12(4)en_US
dc.identifier.cristinIDFRIDAID 1890863
dc.identifier.doi10.3390/SYM12040548
dc.identifier.issn2073-8994
dc.identifier.urihttps://hdl.handle.net/10037/24749
dc.language.isoengen_US
dc.publisherMDPIen_US
dc.relation.journalSymmetry
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2020 The Author(s)en_US
dc.titleDihedral Group D4—A New Feature Extraction Algorithmen_US
dc.type.versionpublishedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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