dc.contributor.author | Conni, Michele | |
dc.contributor.author | Deborah, Hilda | |
dc.date.accessioned | 2021-01-25T08:43:52Z | |
dc.date.available | 2021-01-25T08:43:52Z | |
dc.date.created | 2021-01-11T13:10:22Z | |
dc.date.issued | 2020 | |
dc.identifier.isbn | 0-978-89208-346-6 | |
dc.identifier.uri | https://hdl.handle.net/11250/2724428 | |
dc.description.abstract | In 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.iso | eng | en_US |
dc.publisher | Society for Imaging Science and Technology | en_US |
dc.relation.ispartof | London Imaging Meeting 2020: Future Colour Imaging | |
dc.title | Texture Stationarity Evaluation with Local Wavelet Spectrum | en_US |
dc.type | Chapter | en_US |
dc.description.version | acceptedVersion | en_US |
dc.source.pagenumber | 24-27 | en_US |
dc.identifier.doi | 10.2352/issn.2694-118X.2020.LIM-20 | |
dc.identifier.cristin | 1868964 | |
dc.relation.project | Norges forskningsråd: 274881 | en_US |
dc.description.localcode | This article will not be available due to copyright restrictions (c) 2020 by Society for Imaging Science and Technology | en_US |
cristin.ispublished | true | |
cristin.fulltext | postprint | |
cristin.qualitycode | 1 | |