Refinement of Segmented Virus Particle Candidates in TEM Images

Gustaf Kylberg; Ida-Maria Sintorn

Refinement of Segmented Virus Particle Candidates in TEM Images

Gustaf Kylberg
, Ida-Maria Sintorn

Publikation: Kapitel i bok/rapport/konferenshandling › Konferensartikel i proceedings

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

Originalspråk	Engelska
Titel på värdpublikation	Proceedings : SSBA'11
Förlag	Svenska Sällskapet för Automatiserad Bildanalys
Antal sidor	4
Status	Publicerad - 2011

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title = "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",

author = "Gustaf Kylberg and Ida-Maria Sintorn",

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AU - Kylberg, Gustaf

AU - Sintorn, Ida-Maria

PY - 2011

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AB - 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

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

M3 - Conference paper in proceedings

BT - Proceedings : SSBA'11

PB - Svenska Sällskapet för Automatiserad Bildanalys

ER -