PROCEEDINGS IPMU '08
Incorporating a pre-attention mechanism in fuzzy attribute graphs for sequential image segmentation
Geoffroy Fouquier, Jamal Atif, Isabelle Bloch.
Sequential methods for knowledge-based
recognition of structures require
to define in which order the
structures have to be recognized.
We propose to address this problem
by integrating pre-attention mechanisms,
in the form of a saliency
map, in the determination of the order.
As pre-attention mechanisms
extract knowledge from an image
without object recognition in advance
and do not require any a priori
knowledge on the image, they
provide useful knowledge for guiding
object segmentation and recognition.
Additionally, we make use
of generic knowledge of the scene,
expressed as spatial relations, since
they play a crucial role in model-based
image recognition and interpretation
due to their stability compared
to many other image appearance
characteristics. Graphs are
well adapted to represent this information,
and finding an order then
amounts to find a path in a graph.
The proposed algorithms are applied
on brain image understanding.
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