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dc.contributor.authorConni, Michele
dc.contributor.authorDeborah, Hilda
dc.date.accessioned2021-01-25T08:43:52Z
dc.date.available2021-01-25T08:43:52Z
dc.date.created2021-01-11T13:10:22Z
dc.date.issued2020
dc.identifier.isbn0-978-89208-346-6
dc.identifier.urihttps://hdl.handle.net/11250/2724428
dc.description.abstractIn texture analysis, stationarity is a fundamental property. There are various ways to evaluate if a texture image is stationary or not. One of the most recent and effective of these is a standard test based on non-decimated stationary wavelet transform. This method permits to evaluate how stationary is an image depending on the scale considered. We propose to use this feature to characterize an image and we discuss the implication of such approach.en_US
dc.language.isoengen_US
dc.publisherSociety for Imaging Science and Technologyen_US
dc.relation.ispartofLondon Imaging Meeting 2020: Future Colour Imaging
dc.titleTexture Stationarity Evaluation with Local Wavelet Spectrumen_US
dc.typeChapteren_US
dc.description.versionacceptedVersionen_US
dc.source.pagenumber24-27en_US
dc.identifier.doi10.2352/issn.2694-118X.2020.LIM-20
dc.identifier.cristin1868964
dc.relation.projectNorges forskningsråd: 274881en_US
dc.description.localcodeThis article will not be available due to copyright restrictions (c) 2020 by Society for Imaging Science and Technologyen_US
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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