Unsupervised detection and localization of structural textures using projection profiles

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dc.citation.epage3337en_US
dc.citation.issueNumber10en_US
dc.citation.spage3324en_US
dc.citation.volumeNumber43en_US
dc.contributor.authorYalniz, I. Z.en_US
dc.contributor.authorAksoy, S.en_US
dc.date.accessioned2016-02-08T09:56:39Z
dc.date.available2016-02-08T09:56:39Z
dc.date.issued2010en_US
dc.departmentDepartment of Computer Engineeringen_US
dc.description.abstractThe main goal of existing approaches for structural texture analysis has been the identification of repeating texture primitives and their placement patterns in images containing a single type of texture. We describe a novel unsupervised method for simultaneous detection and localization of multiple structural texture areas along with estimates of their orientations and scales in real images. First, multi-scale isotropic filters are used to enhance the potential texton locations. Then, regularity of the textons is quantified in terms of the periodicity of projection profiles of filter responses within sliding windows at multiple orientations. Next, a regularity index is computed for each pixel as the maximum regularity score together with its orientation and scale. Finally, thresholding of this regularity index produces accurate localization of structural textures in images containing different kinds of textures as well as non-textured areas. Experiments using three different data sets show the effectiveness of the proposed method in complex scenes. © 2010 Elsevier Ltd. All rights reserved.en_US
dc.identifier.doi10.1016/j.patcog.2010.04.016en_US
dc.identifier.issn0031-3203
dc.identifier.urihttp://hdl.handle.net/11693/22185
dc.language.isoEnglishen_US
dc.publisherElsevier BVen_US
dc.relation.isversionofhttp://dx.doi.org/10.1016/j.patcog.2010.04.016en_US
dc.source.titlePattern Recognitionen_US
dc.subjectRegularity detectionen_US
dc.subjectStructural texture analysisen_US
dc.subjectTextonsen_US
dc.subjectTexture periodicityen_US
dc.subjectWavelet analysisen_US
dc.titleUnsupervised detection and localization of structural textures using projection profilesen_US
dc.typeArticleen_US
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