skimage2.filters.rank

Warning

This module is part of the experimental skimage2 namespace and is subject to change without notice. Do not use it in production code. See the migration guide for more details.

Rank filters, e.g. median, entropy, local Otsu, etc.

autolevel	Auto-level image using local histogram.
autolevel_percentile	Return grayscale local autolevel of an image.
enhance_contrast	Enhance contrast of an image.
enhance_contrast_percentile	Enhance contrast of an image.
entropy	Local entropy.
equalize	Equalize image using local histogram.
geometric_mean	Return local geometric mean of an image.
gradient	Return local gradient of an image (i.e. local maximum - local minimum).
gradient_percentile	Return local gradient of an image (i.e., local maximum - local minimum).
majority	Assign to each pixel the most common value within its neighborhood.
maximum	Return local maximum of an image.
mean	Return local mean of an image.
mean_bilateral	Apply a flat kernel bilateral filter.
mean_percentile	Return local mean of an image.
median	Return local median of an image.
minimum	Return local minimum of an image.
modal	Return local mode of an image.
noise_filter	Noise feature.
otsu	Local Otsu's threshold value for each pixel.
percentile	Return local percentile of an image.
pop	Return the local number (population) of pixels.
pop_bilateral	Return the local number (population) of pixels.
pop_percentile	Return the local number (population) of pixels.
subtract_mean	Return image subtracted from its local mean.
subtract_mean_percentile	Return image subtracted from its local mean.
sum	Return the local sum of pixels.
sum_bilateral	Apply a flat kernel bilateral filter.
sum_percentile	Return the local sum of pixels.
threshold	Local threshold of an image.
threshold_percentile	Local threshold of an image.
windowed_histogram	Compute normalized sliding window histogram.