combineClusters: Average 3D color histograms by subdirectory

In colordistance: Distance Metrics for Image Color Similarity

Description

Calculates color histograms for images in immediate subdirectories of a folder, and averages histograms for images in the same subdirectory.

Usage

combineClusters(folder, method = "mean", ...)

Arguments

folder	Path to the folder containing subdirectories of images. Must be a character vector.
method	Method for combining color histograms. Default is "mean", but other generic functions ("median", "sum", etc) will work. String is evaluated using "eval" so any appropriate R function is accepted.
...	Additional arguments passed to getHistList, including number of bins, HSV flag, etc.

Examples

combined_clusters <- colordistance::combineClusters(system.file("extdata",
"Heliconius", package="colordistance"), method="median", bins=2,
lower=rep(0.8, 3), upper=rep(1, 3))

Example output

Heliconius_A: 4 images

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  |======================================================================| 100%Heliconius_B: 4 images

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  |======================================================================| 100%Loading required namespace: abind
Warning messages:
1: In colordistance::getHistList(images[[i]], ...) :
  RGB and HSV are device-dependent, perceptually non-uniform color spaces. See 'Color spaces' vignette for more information.

2: In colordistance::getHistList(images[[i]], ...) :
  RGB and HSV are device-dependent, perceptually non-uniform color spaces. See 'Color spaces' vignette for more information.

colordistance documentation built on March 21, 2021, 1:06 a.m.