KNM MFF UK

Department of Numerical Mathematics Faculty of Mathematics and Physics Charles University

Cell Segmentation Using Level Set Methods with a New Variance Term

  • ID: 2720, RIV: 10325056
  • ISSN: not specified, ISBN: 978-3-319-41501-7
  • source: 13th International Conference, ICIAR 2016, in Memory of Mohamed Kamel, Póvoa de Varzim, Portugal, July 13-15, 2016, Proceedings
  • keywords: segmentation; level set method; active contours; phase contrast microscopy
  • authors: Zuzana Bílková, Jindřich Soukup, Václav Kučera
  • authors from KNM: Kučera Václav

Abstract

We present a new method for segmentation of phase-contrast microscopic images of cells. The algorithm is based on the variational formulation of the level set method, i.e. minimizing of a functional, which describes the level set function. The functional is minimized by a gradient ow described by an evolutionary partial differential equation. The most significant new ideas are initialization using thresholding and the introduction of a new term based on local variance that speeds up con-vergence and achieves more accurate results. The proposed algorithm is applied on real data and compared with another algorithm.