![](/images/graphics-bg.png)
Autoadaptive Algorithm for the Stacking-Level Estimation of Membranes in TEM Images
Joint Authors
Urban, J. P.
Hermann, G.
Coudray, N.
Buessler, J. L.
Karathanou, A.
Source
Issue
Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-02-06
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Electronic engineering
Information Technology and Computer Science
Abstract EN
This paper introduces an original algorithm for the labeling of the regions of a partitioned image according to the stacking level of membranes in transmission electron microscopy (TEM) images.
Image analysis of membrane protein TEM images represents a particular challenging task because of the important noise and heterogeneity present in these images.
The proposed algorithm adapts automatically to fluctuations and gray level ranges characterizing each membrane stacking level.
Some information about the organization of the objects in the images is introduced as prior knowledge.
Three types of qualitative and quantitative experiments have been specifically devised and implemented to assess the algorithm.
American Psychological Association (APA)
Hermann, G.& Coudray, N.& Karathanou, A.& Buessler, J. L.& Urban, J. P.. 2011. Autoadaptive Algorithm for the Stacking-Level Estimation of Membranes in TEM Images. ISRN Signal Processing،Vol. 2011, no. 2011, pp.1-10.
https://search.emarefa.net/detail/BIM-488229
Modern Language Association (MLA)
Hermann, G.…[et al.]. Autoadaptive Algorithm for the Stacking-Level Estimation of Membranes in TEM Images. ISRN Signal Processing No. 2011 (2011), pp.1-10.
https://search.emarefa.net/detail/BIM-488229
American Medical Association (AMA)
Hermann, G.& Coudray, N.& Karathanou, A.& Buessler, J. L.& Urban, J. P.. Autoadaptive Algorithm for the Stacking-Level Estimation of Membranes in TEM Images. ISRN Signal Processing. 2011. Vol. 2011, no. 2011, pp.1-10.
https://search.emarefa.net/detail/BIM-488229
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-488229