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The Dynamic Topology Changes Model for Unsupervised Image Segmentation

Sousa, M. ; Lenkiewicz, P. ; Freire, M.

The Dynamic Topology Changes Model for Unsupervised Image Segmentation, Proc IEEE Workshop on MultiMedia Signal Processing - MMSP, Rio de Janeiro, Brazil, Vol. 1, pp. 5 - 7, October, 2009.

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Abstract—Deformable Models are a popular family of image
segmentation techniques, which has been gaining significant
focus in the last two decades, serving both for real-world
applications as well as the base for research work. One of the
features that the Deformable Models offer and that is considered
a much desired one, is the ability to change their topology during
the segmentation process. Using this characteristic it is possible
to perform segmentation of objects with discontinuities in their
bodies or to detect an undefined number of objects in the scene.
In this paper we present our model for handling the topology
changes in image segmentation methods based on the Active
Volumes solution. The said model is capable of performing the
changes in the structure of objects while the segmentation
progresses, what makes it efficient and suitable for
implementations over powerful execution environment, like
multi-core architectures or computer clusters.