Color range conversion¶
Changes the range and distribution of values for all pixels
Documentation¶
Algorithms¶
- adaptive histogram
Improves contrast by stretching and equalizing the histogramin a sliding window over the image
- bins:
Number of bins in computed histogram (default 256)
- adaptive kernel size:
Size of the sliding window. Must evenly divide both image width and height.
- sigma:
Clipping limit (normalized between 0 and 1). Higher values give more contrast. (default 1.0)
More info: http://scikit-image.org/docs/0.13.x/api/skimage.exposure.html#skimage.exposure.equalize_adapthist
- gamma correction
Applies the correction: Vout = scale Vin^gamma Processes each channel separately
- scale:
Constant scale factor applied after gamma correction
- gamma:
Gamma factor applied to image. <1 increases intensities of mid-tones, >1 decreases intensities of mid-tones
More info: http://scikit-image.org/docs/0.13.x/api/skimage.exposure.html#skimage.exposure.adjust_gamma
- histogram equalization
Improves contrast by stretching and equalizing the histogram
- bins:
Number of bins in computed histogram (default 256)
More info: http://scikit-image.org/docs/0.13.x/api/skimage.exposure.html#skimage.exposure.equalize_hist
- log correction
Applies the correction: Vout = scale log(1 + Vin) Processes each channel separately
- scale:
Constant scale factor applied after gamma correction
- inverse:
Perform inverse log-correction instead (default false): Vout = scale (2^Vin - 1)
More info: http://scikit-image.org/docs/0.13.x/api/skimage.exposure.html#skimage.exposure.adjust_log
- sigmoid
Performs Sigmoid correction on input image. Also known as contrast adjustment. Vout = 1/(1+exp(gain*(cutoff-Vin))) Processes each channel separately
- inverse:
Perform negative sigmoid correction instead (default false)
- cutoff:
Shifts the characteristic curve for the sigmoid horizontally(default 0.5)
- gain:
Gain of sigmoid, affects rise time of curve (default 10.0)
More info: http://scikit-image.org/docs/0.13.x/api/skimage.exposure.html#skimage.exposure.adjust_sigmoid
Definition¶
Input ports¶
- source
Output ports¶
- result
Configuration¶
- adaptive kernel size (adaptive kernel size)
(no description)
- Algorithm (algorithm)
(no description)
- bins (bins)
(no description)
- cutoff (cutoff)
(no description)
- gain (gain)
(no description)
- gamma (gamma)
(no description)
- inverse (inverse)
(no description)
- scale (scale)
(no description)
- sigma (sigma)
(no description)
Examples¶
Example flows demonstrating this node:
The node can be found in:
Implementation¶
- class node_colors.ColorRangeConversion[source]
