Sintorn, Ida-Maria
- Centre for Image Analysis, Sveriges lantbruksuniversitet
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
UKÄ forskningsämne
Datavetenskap (datalogi)
Medicinsk bildvetenskap
Permanent länk till denna sida (URI)
https://res.slu.se/id/publ/35990