Initialisation-Free Active Contour Segmentation

Xie Xianghua, Majid Mirmehdi

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

6 Citations (Scopus)


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 contributionInitialisation-Free Active Contour Segmentation
Original languageEnglish
Title of host publicationProc. of International Conference on Pattern Recognition
Publication statusPublished - 2010

Bibliographical note

Other page information: -
Conference Proceedings/Title of Journal: Proc. of International Conference on Pattern Recognition
Other identifier: 2001185


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