disk(radius, dtype=<class 'numpy.uint8'>)
A pixel is within the neighborhood if the Euclidean distance between it and the origin is no greater than radius.
The data type of the structuring element.
The radius of the disk-shaped structuring element.
The structuring element where elements of the neighborhood are 1 and 0 otherwise.
Generates a flat, disk-shaped structuring element.
The following pages refer to to this document either explicitly or contain code examples using this.
skimage.filters.rank.generic.otsu
skimage.filters.rank.generic.noise_filter
skimage.filters._median.median
skimage.filters.rank.generic.minimum
skimage.filters.rank.generic.modal
skimage.filters.rank.bilateral.mean_bilateral
skimage.filters.rank.generic.majority
skimage.filters.rank.bilateral.sum_bilateral
skimage.filters.rank.generic.gradient
skimage.filters.rank.generic.median
skimage.filters.rank.generic.windowed_histogram
skimage.filters.rank.generic.subtract_mean
skimage.filters.rank.generic.equalize
skimage.filters.rank.generic.autolevel
skimage.filters.rank.generic.geometric_mean
skimage.filters.rank.generic.enhance_contrast
skimage.filters.rank.generic.maximum
skimage.filters.rank.generic.entropy
skimage.filters.rank.generic.mean
Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.
Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)
SVG is more flexible but power hungry; and does not scale well to 50 + nodes.
All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them