Segmentation of virus particle candidates in transmission electron microscopy images
2012 (English)In: Journal of Microscopy, ISSN 0022-2720, E-ISSN 1365-2818, Vol. 245, no 2, 140-147 p.Article in journal (Refereed) Published
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.
Place, publisher, year, edition, pages
Blackwell Publishing, 2012. Vol. 245, no 2, 140-147 p.
radial density profile, transmission electron microscopy, virus detection, virus segmentation
Medical Image Processing
Research subject Computerized Image Analysis; Computerized Image Processing
IdentifiersURN: urn:nbn:se:uu:diva-163761DOI: 10.1111/j.1365-2818.2011.03556.xISI: 000298987100004OAI: oai:DiVA.org:uu-163761DiVA: diva2:464774