Abstract
We present a region based active contour model which does not require
any initialisation and is capable of modelling multi-modal image
regions. Its external force is based on statistically learning and
grouping of image primitives in multiscale, and its numerical solution
is carried out using radial basis function interpolation and time
dependent expansion coefficient updating. The initialisation-free
property makes it attractive to applications such as detecting unkown
number of objects with unkown topologies.
Translated title of the contribution | Initialisation-Free Active Contour Segmentation |
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Original language | English |
Title of host publication | Proc. of International Conference on Pattern Recognition |
Publisher | Istanbul |
Publication status | Published - 2010 |
Bibliographical note
Other page information: -Conference Proceedings/Title of Journal: Proc. of International Conference on Pattern Recognition
Other identifier: 2001185