PROCEEDINGS IPMU '08
Fuzzy attribute openings based on a new fuzzy connectivity class. Application to structural recognition in images
Olivier Nempont, Jamal Atif, Elsa Angelini, Isabelle Bloch
In problems such as image segmentation
and recognition, the connectivity
of target objects is a key feature.
In the mathematical morphology
framework, connected filters
were derived from the classical
connectivity theory but do not
take into account the imperfections
that can affect the image formation.
The aim of this paper is twofold:
(i) introduce a new class of connectivity
for fuzzy objects and (ii) derive
some associated attribute openings.
We show also that the latters
can be performed efficiently using
a component-tree representation.
We illustrate a potential use of these
filters in a brain segmentation and
recognition process.
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