Sammanfattning

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

Publicerad i

Titel: Proceedings : SSBA'11
Utgivare: Svenska Sällskapet för Automatiserad Bildanalys

Konferens

SSBA Symposium on Image Analysis 2011

SLU författare

• Sintorn, Ida-Maria

  • Centre for Image Analysis, Sveriges lantbruksuniversitet
    

UKÄ forskningsämne

Datavetenskap (datalogi)
Medicinsk bildbehandling


Permanent länk till denna sida (URI)

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