countTextures: countTextures

In LS2Wstat: A Multiscale Test of Spatial Stationarity for LS2W Processes

countTextures

Description

Groups a list of (stationary) images into texture classes.

Usage

	countTextures(Imgs, medpol = TRUE, ...)

Arguments

Imgs	A list of images to classify into textures.
medpol	A boolean value indicating whether to zero mean the images (with Tukey's median polish) prior to classification.
...	Any other optional arguments to the classification function compareImages.

Details

The procedure recursively uses the function compareImages to decide whether two images are of the same texture or not. More specifically, the first image is sequentially tested with all others in the list, assigning the images the label "1" if assessed as the same texture as the first image. All other (unclassified) images are then similarly compared with candidates from different texture classes, until all images have been assigned a group label. Testing recursively in this way, there are at most choose(length(Imgs),2) comparisons performed, but in reality the number could be a lot fewer.

Value

Iclass

A vector (of length length(Imgs)) of texture labels corresponding to each image in Imgs.

Author(s)

Sarah L. Taylor and Matt Nunes

References

Taylor, S.L., Eckley, I.A., and Nunes, M.A. (2014) A Test of Stationarity for Textured Images. Technometrics, 56 (3), 291-301.

See Also

compareImages

Examples

## Not run: 
 X1<-simTexture(128,K=1,imtype="S1")[[1]]
 X2<-simTexture(128,K=1,imtype="S1")[[1]]
 X3<-simTexture(128,K=1,imtype="S1",sd=1.6)[[1]]

 Xlist<-list(X1,X2,X3)

 Xlist.class<-countTextures(Xlist, bs=100)

## End(Not run)

LS2Wstat documentation built on Sept. 17, 2023, 9:06 a.m.