A Multiscale Test of Spatial Stationarity for Textured Images in R

Authors

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

Date of this Version

6-2014

Document Type

Article

Citation

The R Journal (June 2014) 6(1); Editor: Deepayan Sarkar

Comments

Copyright 2014, The R Foundation. Open access material. License: CC BY 3.0 Unported

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 LS2W stat 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.