Color space conversion

Converts each pixel in a multi-channel image into another colour space

Algorithms:

• grey2cmap

  Converts greyscale values after normalization and scaling from 0 - 255 into a matplotlib colourmap.

  cmap:

  The colormap to use in conversion

• greyscale

  Transforms RGB images into greyscale

  luminance preserving:

  Use weighted average based on separate luminosity of red-green-blue receptors in human eye.

  Only works for three channel images

• hsv2rgb

  Interprets input channels as Hue-Saturation-Value (HSV) and outputs Red-Green-Blue (RGB) channels.

• lab2rgb

  Interprets input channels as sRGB and outputs CIE LAB channels.

  illuminant:

  CIE standard illumination spectrum

  observer:

  Aperture angle of observer

• rgb2hsv

  Interprets input channels as Red-Green-Blue (RGB) and outputs Hue-Saturation-Value (HSV) channels.

• rgb2lab

  Interprets input channels as sRGB and outputs CIE LAB channels.

  illuminant:

  CIE standard illumination spectrum

  observer:

  Aperture angle of observer

• rgb2xyz

  Interprets input channels as sRGB and outputs CIE XYZ channels.

• xyz2rgb

  Interprets input channels as CIE XYZ and outputs sRGB channels.

Inputs:

source : image

source image to filter

Outputs:

result : image

result after filtering

Input ports:

source:

image

source image to filter

Output ports:

result:

image

result after filtering

Configuration:

algorithm

(no description)

cmap

(no description)

illuminant

(no description)

observer

(no description)

luminance preserving

(no description)

Some of the docstrings for this module have been extracted from the scikit-image library and are covered by their respective licenses.

class node_colors.ColorSpaceConversion