Clusters pixel colors by dividing color space up into specified bins, then taking the average color of all the pixels within that bin.
colorClustersHist(
pixel_matrix,
bins = 3,
color_space = c("Lab", "sRGB", "Luv", "HSV"),
ref_white = "D65",
bin_avg = TRUE
)A list with the following elements:
pixel_assignments: A vector of color center assignments for
each pixel.
centers: A matrix of color centers.
sizes: The number of pixels assigned to each cluster.
2D matrix of pixels to classify (rows = pixels, columns = channels).
Number of bins for each channel OR a vector of length 3 with bins
for each channel. bins = 3 will result in 3^3 = 27 bins; bins = c(2, 2, 3)
will result in 223 = 12 bins (2 red, 2 green, 3 blue if you're in RGB
color space), etc.
Color space in which to cluster colors, passed to
[grDevices]{convertColor}. One of "sRGB", "Lab", or "Luv".
Default is "Lab", a perceptually uniform (for humans) color space.
Reference white for converting to different color spaces. D65 (the default) corresponds to standard daylight.
Logical. Return the color centers as the average of the pixels assigned to the bin (the default), or the geometric center of the bin?
Called by colorClusters(). See that documentation for
examples.