loadImage: Import image and generate filtered 2D pixel array(s)

In colordistance: Distance Metrics for Image Color Similarity

Description

Imports a single image and returns a list with the original image as a 3D array, a 2D matrix with background pixels removed, and the absolute path to the original image.

Usage

loadImage(
  path,
  lower = c(0, 0.55, 0),
  upper = c(0.24, 1, 0.24),
  hsv = TRUE,
  CIELab = FALSE,
  sample.size = 1e+05,
  ref.white = NULL,
  alpha.channel = TRUE,
  alpha.message = FALSE
)

Arguments

path	Path to image (a string).
lower	RGB or HSV triplet specifying the lower bounds for background pixels. Default upper and lower bounds are set to values that work well for a bright green background (RGB [0, 1, 0]).
upper	RGB or HSV triplet specifying the upper bounds for background pixels. Default upper and lower bounds are set to values that work well for a bright green background (RGB [0, 1, 0]). Determining these bounds may take some trial and error, but the following bounds may work for certain common background colors: Black: lower=c(0, 0, 0); upper=c(0.1, 0.1, 0.1) White: lower=c(0.8, 0.8, 0.8); upper=c(1, 1, 1) Green: lower=c(0, 0.55, 0); upper=c(0.24, 1, 0.24) Blue: lower=c(0, 0, 0.55); upper=c(0.24, 0.24, 1) If no background filtering is needed, set bounds to some non-numeric value (NULL, FALSE, "off", etc); any non-numeric value is interpreted as NULL.
hsv	Logical. Should HSV pixel array also be calculated? Setting to FALSE will shave some time off the analysis, but not much (a few microseconds per image).
CIELab	Logical. Should CIEL*a*b color space pixels be calculated from RGB? Requires specification of a reference white (see details).
sample.size	Number of pixels to be randomly sampled from filtered pixel array for conversion. If not numeric, all pixels are converted.
ref.white	String; white reference for converting from RGB to CIEL*a*b color space. Accepts any of the standard white references for convertColor (see details).
alpha.channel	Logical. If available, should alpha channel transparency be used to mask background? See removeBackground for more details.
alpha.message	Logical. Output a message if using alpha channel transparency to mask background? Helpful for troubleshooting with PNGs.

Details

The upper and lower limits for background pixel elimination set the inclusive bounds for which pixels should be ignored for the 2D arrays; while all background pixels are ideally a single color, images photographed against "uniform" backgrounds often contain some variation, and even segmentation done with photo editing software will produce some variance as a result of image compression.

The upper and lower bounds represent cutoffs: any pixel for which the first channel falls between the first upper and lower bounds, the second channel falls between the second upper and lower bounds, and the third channel falls between the third upper and lower bounds, will be ignored. For example, if you have a green pixel with RGB channel values [0.1, 0.9, 0.2], and your upper and lower bounds were (0.2, 1, 0.2) and (0, 0.6, 0) respectively, the pixel would be ignored because 0 <= 0.1 <= 0.2, 0.6 <= 0.9 <= 1, and 0 <= 0.2 <= 0.2. But a pixel with the RGB channel values [0.3, 0.9, 0.2] would not be considered background because 0.3 >= 0.2.

CIEL*a*b color space requires a reference 'white light' color (dimly and brightly lit photographs of the same object will have very different RGB palettes, but similar Lab palettes if appropriate white references are used). The idea here is that the apparent colors in an image depend not just on the "absolute" color of an object (whatever that means), but also on the available light in the scene. There are seven CIE standardized illuminants available in colordistance (A, B, C, E, and D50, D55, and D60), but the most common are:

• "A": Standard incandescent lightbulb

• "D65": Average daylight

• "D50": Direct sunlight

Color conversions will be highly dependent on the reference white used, which is why no default is provided. Users should look into standard illuminants to choose an appropriate reference for a dataset.

Value

A list with original image ($original.rgb, 3D array), 2D matrix with background pixels removed ($filtered.rgb.2d and $filtered.hsv.2d), and path to the original image ($path).

Note

The 3D array is useful for displaying the original image, while the 2D arrays (RGB and HSV) are treated as rows of data for clustering in the rest of the package.

Examples

loadedImg <- colordistance::loadImage(system.file("extdata",
"Heliconius/Heliconius_A/Heliconius_01.jpeg", package="colordistance"),
upper=rep(1, 3), lower=rep(0.8, 3))

loadedImgNoHSV <- colordistance::loadImage(system.file("extdata",
"Heliconius/Heliconius_A/Heliconius_01.jpeg", package="colordistance"),
upper=rep(1, 3), lower=rep(0.8, 3), hsv=FALSE)

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