HistogramMatching

Apply histogram matching. It manipulates the pixels of an input image so that its histogram matches

icevision_HistogramMatching(
  reference_images,
  blend_ratio = list(0.5, 1),
  read_fn = icevision_read_rgb_image(),
  always_apply = FALSE,
  p = 0.5
)

Arguments

reference_images

reference_images

blend_ratio

blend_ratio

read_fn

read_fn

always_apply

always_apply

p

p

Value

None

Details

the histogram of the reference image. If the images have multiple channels, the matching is done independently for each channel, as long as the number of channels is equal in the input image and the reference. Histogram matching can be used as a lightweight normalisation for image processing, such as feature matching, especially in circumstances where the images have been taken from different sources or in different conditions (i.e. lighting). See: https://scikit-image.org/docs/dev/auto_examples/color_exposure/plot_histogram_matching.html

See

https://scikit-image.org/docs/dev/auto_examples/color_exposure/plot_histogram_matching.html

Targets

image

Image types

uint8, uint16, float32