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|
|Title of host publication||Proc. of International Conference on Pattern Recognition|
|Publication status||Published - 2010|
Bibliographical noteOther page information: -
Conference Proceedings/Title of Journal: Proc. of International Conference on Pattern Recognition
Other identifier: 2001185