patK: Extract colors using k-means clustering (for pre-aligned...

In StevenVB12/patternize: Quantification of Color Pattern Variation

Extract colors using k-means clustering (for pre-aligned images).

Description

Extract colors using k-means clustering (for pre-aligned images).

Usage

patK(
  sampleList,
  k = 3,
  fixedStartCenter = NULL,
  resampleFactor = NULL,
  maskOutline = NULL,
  plot = FALSE,
  focal = FALSE,
  sigma = 3,
  maskToNA = NULL,
  kmeansOnAll = FALSE
)

Arguments

sampleList	List of RasterStack objects.
k	Integere for defining number of k-means clusters (default = 3).
fixedStartCenter	Specify a dataframe with start centers for k-means clustering.
resampleFactor	Integer for downsampling used by redRes.
maskOutline	When outline is specified, everything outside of the outline will be masked for the color extraction (default = NULL).
plot	Whether to plot transformed color patterns while processing (default = FALSE).
focal	Whether to perform Gaussian blurring (default = FALSE).
sigma	Size of sigma for Gaussian blurring (default = 3).
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 of summed raster for each k-means cluster objects.

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