skimage2.filters

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.

Sharpening, edge finding, rank filters, thresholding, etc.

apply_hysteresis_threshold	Apply hysteresis thresholding to image.
butterworth	Apply a Butterworth filter to enhance high or low frequency features.
correlate_sparse	Compute valid cross-correlation of padded_array and kernel.
difference_of_gaussians	Find features between low_sigma and high_sigma in size.
farid	Find the edge magnitude using the Farid transform.
farid_h	Find the horizontal edges of an image using the Farid transform.
farid_v	Find the vertical edges of an image using the Farid transform.
filter_forward	Apply the given filter to data.
filter_inverse	Apply the filter in reverse to the given data.
frangi	Filter an image with the Frangi vesselness filter.
gabor	Return real and imaginary responses to Gabor filter.
gabor_kernel	Return complex 2D Gabor filter kernel.
gaussian	Filter with Multi-dimensional Gaussian kernel.
hessian	Filter an image with the Hybrid Hessian filter.
laplace	Find the edges of an image using the Laplace operator.
median	Return local median of an image.
meijering	Filter an image with the Meijering neuriteness filter.
prewitt	Find the edge magnitude using the Prewitt transform.
prewitt_h	Find the horizontal edges of an image using the Prewitt transform.
prewitt_v	Find the vertical edges of an image using the Prewitt transform.
rank_order	Return an image of the same shape where each pixel is the index of the pixel value in the ascending order of the unique values of image, aka the rank-order value.
roberts	Find the edge magnitude using Roberts' cross operator.
roberts_neg_diag	Find the cross edges of an image using the Roberts' Cross operator.
roberts_pos_diag	Find the cross edges of an image using Roberts' cross operator.
sato	Filter an image with the Sato tubeness filter.
scharr	Find the edge magnitude using the Scharr transform.
scharr_h	Find the horizontal edges of an image using the Scharr transform.
scharr_v	Find the vertical edges of an image using the Scharr transform.
sobel	Find edges in an image using the Sobel filter.
sobel_h	Find the horizontal edges of an image using the Sobel transform.
sobel_v	Find the vertical edges of an image using the Sobel transform.
threshold_isodata	Return threshold value(s) based on ISODATA method.
threshold_li	Compute threshold value by Li's iterative Minimum Cross Entropy method.
threshold_local	Compute a threshold mask image based on local pixel neighborhood.
threshold_mean	Return threshold value based on the mean of grayscale values.
threshold_minimum	Return threshold value based on minimum method.
threshold_multiotsu	Generate classes-1 threshold values to divide gray levels in image, following Otsu's method for multiple classes.
threshold_niblack	Applies Niblack local threshold to an array.
threshold_otsu	Return threshold value based on Otsu's method.
threshold_sauvola	Applies Sauvola local threshold to an array.
threshold_triangle	Return threshold value based on the triangle algorithm.
threshold_yen	Return threshold value based on Yen's method.
try_all_threshold	Returns a figure comparing the outputs of different thresholding methods.
unsharp_mask	Unsharp masking filter.
wiener	Minimum Mean Square Error (Wiener) inverse filter.
window	Return an n-dimensional window of a given size and dimensionality.
LPIFilter2D	Linear Position-Invariant Filter (2-dimensional)

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