kImage: 'kmeans' clustering of image imported as a RasterStack. This...

In StevenVB12/patternize: Quantification of Color Pattern Variation

kmeans clustering of image imported as a RasterStack. This function is used by patLanK and patRegK.

Description

kmeans clustering of image imported as a RasterStack. This function is used by patLanK and patRegK.

Usage

kImage(image, k = 5, startCenter = NULL, maskToNA = NULL, kmeansOnAll = FALSE)

Arguments

image	Image imported as a RasterStack for k-means clustering.
k	Integer for number of k-means clusters (default = 3).
startCenter	A matrix of cluster centres to start k-means clustering from (default = NULL).
maskToNA	Replace the color value used for masking (i.e. 0 or 255) with NA.
kmeansOnAll	Whether to perform the kmeans clusters on the combined set of pixels of all images first (default = FALSE).

Value

List including the k-means clustered RasterSatck returned as an array and object of class "kmeans".

Examples

image <- raster::stack(system.file("extdata", "BC0077.jpg", package = "patternize"))
out <- kImage(image, 6)

StevenVB12/patternize documentation built on Nov. 2, 2023, 8:01 p.m.