Refinement of Segmented Virus Particle Candidates in TEM Images

Abstract

In this paper we present a refined segmentation method that detects virus particles of various shapes in transmission electron microscopy images. The method is based on a statistical analysis of local neighborhoods of the pixels in an image followed by an object thickness discrimination and a border refinement procedure. 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

Title: Proceedings : SSBA'11
Publisher: Svenska Sällskapet för Automatiserad Bildanalys

Conference

SSBA Symposium on Image Analysis 2011

SLU Authors

• Sintorn, Ida-Maria

  • Centre for Image Analysis, Swedish University of Agricultural Sciences
    

UKÄ Subject classification

Computer Science
Medical Imaging

Permanent link to this page (URI)

https://res.slu.se/id/publ/35990