DocumentCode
3375126
Title
A novel segmentation and classification method for identification of viruses in electron microscope images
Author
Matuszewski, B. ; Shark, L.K. ; Hall, G.
Author_Institution
Tech. Univ. Wroclaw, Poland
Volume
2
fYear
1997
fDate
14-17 Jul 1997
Firstpage
819
Abstract
The paper presents a new virus identification method based on a novel segmentation and classification methodology. The reliability of the proposed method is demonstrated using practical images. As the proposed method is invariant to orientation, position and size of virus cells appearing in electron microscope images, it forms a good basis for the practical implementation of a reliable and automatic virus identification system in the future
Keywords
image classification; automatic virus identification system; classification; electron microscope images; orientation; position; reliability; segmentation; size; virus cells;
fLanguage
English
Publisher
iet
Conference_Titel
Image Processing and Its Applications, 1997., Sixth International Conference on
Conference_Location
Dublin
ISSN
0537-9989
Print_ISBN
0-85296-692-X
Type
conf
DOI
10.1049/cp:19971010
Filename
615642
Link To Document