codes_2Dskeleton is for generating shape skeletons
2016-08-23
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The aim of the skeletonization is to extract a region-based shape feature representing the general form of an object.
Skeletonization (i.e., skeleton extraction from a digital binary picture) provides region-based shape features. It is a common preprocessing operation in raster-to-vector conversion or in pattern recognition.
There are three major skeletonization techniques:
- detecting ridges in distance map of the boundary points,
- calculating the Voronoi diagram generated by the boundary points, and
- the layer by layer erosion called thinning.
In digital spaces, only an approximation to the "true skeleton" can be extracted. There are two requirements to be complied with:
- topological (to retain the topology of the original object),
- geometrical (forcing the "skeleton" being in the middle of the object and invariance under the most imp
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