threshold_triangle(image, nbins=256)
Grayscale input image.
Number of bins used to calculate histogram. This value is ignored for integer arrays.
Upper threshold value. All pixels with an intensity higher than this value are assumed to be foreground.
Return threshold value based on the triangle algorithm.
>>> from skimage.data import cameraSee :
... image = camera()
... thresh = threshold_triangle(image)
... binary = image > thresh
The following pages refer to to this document either explicitly or contain code examples using this.
skimage.filters.thresholding.threshold_triangle
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