This is an implementation of the max-tree, which is a morphological representation of the image. Many morphological operators can be built from this representation, namely attribute openings and closings.
This file also contains implementations of max-tree based filters and functions to characterize the tree components.
_max_tree.pyx - building a max-tree from an image.
_max_tree.pyx - building a max-tree from an image.
This is an implementation of the max-tree, which is a morphological representation of the image. Many morphological operators can be built from this representation, namely attribute openings and closings.
This file also contains implementations of max-tree based filters and functions to characterize the tree components.
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
