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dc.contributor.authorThon, Kevin Otto
dc.contributor.authorGeilhufe, Marc
dc.contributor.authorPercival, Donald B.
dc.date.accessioned2015-03-26T07:36:51Z
dc.date.available2015-03-26T07:36:51Z
dc.date.issued2014-12-31
dc.description.abstractA test for isotropy of images modeled as stationary or intrinsically stationary random fields on a lattice is developed. The test is based on wavelet theory, and can operate on the horizontal and vertical scale of choice, or on any combination of scales. Scale is introduced through the wavelet variances (sometimes referred to as the wavelet power spectrum), which decompose the variance over different horizontal and vertical spatial scales. The method is more general than existing tests for isotropy, since it handles intrinsically stationary random fields as well as second-order stationary fields. The performance of the method is demonstrated on samples from different (an)isotropic random fields, and compared to three existing methods. It is competitive with or outperforms existing methods since it consistently rejects close to the nominal level for isotropic fields while having a rejection rate for anisotropic fields comparable to the existing methods in the stationary case, and superior in the intrinsic case. As practical examples, paper density images of handsheets and mammogram images are analyzed.en
dc.identifier.citationIEEE Transactions on Image Processing 24(2015) nr. 2 s. 694-708en_US
dc.identifier.issn1057-7149
dc.identifier.otherFRIDAID 1201894
dc.identifier.other10.1109/TIP.2014.2387016
dc.identifier.urihttps://hdl.handle.net/10037/7591
dc.identifier.urnURN:NBN:no-uit_munin_7180
dc.language.isoengen_US
dc.rights.accessRightsopenAccess
dc.subjectVDP::429en_US
dc.subjectmaximal overlap discrete wavelet transformen
dc.subjectwavelet varianceen
dc.subjectisotropyen
dc.subjectanisotropyen
dc.subjectrandom fieldsen
dc.titleA Multiscale Wavelet-Based Test for Isotropy of Random Fields on a Regular Latticeen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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