Abstract
This article proposes a test of stationarity for random fields on a regular lattice motivated by a problem arising from texture analysis. Our approach is founded on the locally stationary two-dimensional wavelet (LS2W) process model for lattice processes that has previously been used for standard texture analysis tasks, such as texture discrimination and classification. We propose two variants of our stationarity test, both of which can be performed on a single realization—a feature of particular practical importance within texture analysis. We illustrate our approach with pilled fabric data, demonstrating that the test is capable of identifying visually subtle changes in stationarity. Supplementary material for this article is available online.
Original language | English |
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Pages (from-to) | 291-301 |
Number of pages | 11 |
Journal | Technometrics |
Volume | 56 |
Issue number | 3 |
Early online date | 2 Aug 2013 |
DOIs | |
Publication status | Published - 3 Jul 2014 |
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Matthew Nunes
- Department of Mathematical Sciences - Reader
- Centre for Mathematics and Algorithms for Data (MAD)
- EPSRC Centre for Doctoral Training in Statistical Applied Mathematics (SAMBa)
- EPSRC Centre for Doctoral Training in Advanced Automotive Propulsion Systems (AAPS CDT)
Person: Research & Teaching, Affiliate staff