dc.contributor.authorShivakumara, Palaiahnakote
dc.contributor.authorRajan, Deepu
dc.contributor.authorSadananthan, Suresh Anand
dc.date.accessioned2013-10-25T03:31:14Z
dc.date.available2013-10-25T03:31:14Z
dc.date.copyright2012en_US
dc.date.issued2012
dc.identifier.citationShivakumara, P., Rajan, D., & Sadananthan, S. A. (2012). New Edge Charasteristics For Scene And Object Classification. International Journal of Pattern Recognition and Artificial Intelligence, 26(01), 1255001.en_US
dc.identifier.urihttp://hdl.handle.net/10220/16904
dc.description.abstractIn this paper, we show that simple edge characteristics in images, when judiciously combined, can result in improved scene and object classification. Unlike existing methods that require a large number of training samples and complex learning schemes, our method discovers simple edge properties. We introduce three sets of edge properties, namely, centroid, compactness and aspect ratio of edges in the image. The combinations of these edge properties are used to discriminate among images in each class. A class representative is calculated for each class according to the average percentage of edges that satisfy the property of a particular class. This percentage for an unknown image is compared to the class representative to assign a label to it. It is shown that this simple edge properties-based method outperforms some of the state-of-the-art results on scene and object classification on standard databases.en_US
dc.language.isoenen_US
dc.relation.ispartofseriesInternational journal of pattern recognition and artificial intelligenceen_US
dc.subjectDRNTU::Engineering::Computer science and engineering
dc.titleNew edge charasteristics for scene and object classificationen_US
dc.typeJournal Article
dc.contributor.schoolSchool of Computer Engineeringen_US
dc.identifier.doihttp://dx.doi.org/10.1142/S0218001412550014


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