A Multiscale Test of Spatial Stationarity for Textured Images in R

Matthew A. Nunes, Sarah L. Taylor, Idris A. Eckley

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

The ability to automatically identify areas of homogeneous texture present within a greyscale image is an important feature of image processing algorithms. This article describes the R package LS2Wstat which employs a recent wavelet-based test of stationarity for locally stationary random fields to assess such spatial homogeneity. By embedding this test within a quadtree image segmentation procedure we are also able to identify texture regions within an image.
Original languageEnglish
Pages (from-to)20-30
Number of pages11
JournalThe R Journal
Volume6
Issue number1
Publication statusE-pub ahead of print - 16 Jun 2014

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