Sintorn, Ida-Maria
- Centre for Image Analysis, Swedish University of Agricultural Sciences
Abstract
In this paper, we present an automatic segmentation method that detects virus particles of various shapes in transmission electron microscopy images. The method is based on a statistical analysis of local neighbourhoods of all the pixels in the image followed by an object width discrimination and finally, for elongated objects, a border refinement step. It requires only one input parameter, the approximate width of the virus particles searched for. The proposed method is evaluated on a large number of viruses. It successfully segments viruses regardless of shape, from polyhedral to highly pleomorphic
Published in
Journal of Microscopy
2012, volume: 245, number: 2, pages: 140-147
Publisher: Blackwell Publishing
SLU Authors
Borgefors, Gunilla
- Centre for Image Analysis, Swedish University of Agricultural Sciences
- Centre for Image Analysis, Swedish University of Agricultural Sciences
UKÄ Subject classification
Medical Biotechnology (with a focus on Cell Biology (including Stem Cell Biology), Molecular Biology, Microbiology, Biochemistry or Biopharmacy)
Radiology and Medical Imaging
Publication identifier
- DOI: https://doi.org/10.1111/j.1365-2818.2011.03556.x
Permanent link to this page (URI)
https://res.slu.se/id/publ/35992