Performs a hard-coded correlation to assign every neighborhood of 8 a unique number, which in turn is used in conjunction with a look up table to select the appropriate thinning criteria.
A binary image containing the objects to be skeletonized. '1' represents foreground, and '0' represents background.
A matrix containing the thinned image.
Optimized parts of the Zhang-Suen skeletonization. Iteratively, pixels meeting removal criteria are removed, till only the skeleton remains (that is, no further removable pixel was found).
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
