Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

Multiscale morphological region coding

Authors: Benoit M. M. Macq; Christian Ronse; V. Van Dongen;

Multiscale morphological region coding

Abstract

A new algorithm for multiscale morphological descriptions of binary digital regions is given. From a bound set of pixels in digital space it extracts a growing sequence of subsets approximating it; each approximation is obtained from the previous one by addition of the opening by one structuring element chosen in a finite family. Corresponding to this sequence of subsets is a compact coding specifying for each step the structuring element used, and a set of positions for this structuring element, which is sufficient to generate the difference between the current approximation and the previous one.

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Related to Research communities
STARS EU
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!