DocumentCode :
3642119
Title :
Detection of elliptical particles in atomic force microscopy images
Author :
Jiří Sedlář;Barbara Zitová;Jaromír Kopeček;Tatiana Todorciuc;Irena Kratochvílová
Author_Institution :
Academy of Sciences of the Czech Republic, Institute of Information Theory and Automation, Prague, Czech Republic
fYear :
2011
fDate :
5/1/2011 12:00:00 AM
Firstpage :
1233
Lastpage :
1236
Abstract :
In this paper we describe a method for detection and measurement of elliptical particles in atomic force microscopy (AFM) images. AFM imaging is used in physics to scan surfaces; the measured heights are represented by pixel values. Each sample in our project consisted of elliptical particles of principally the same size; the size could be characterized by the average length and width of a number of salient particles. The method we proposed is based on segmentation of undamaged particles and their approximation by ellipses; the major and minor axes provide robust estimates of the lengths and widths of the particles, respectively. The method is robust to distortions typical of AFM images. Its performance was demonstrated on images of pyrroles and compared with manual detection. Results show that the automatic method could be used in place of the time-consuming manual detection.
Keywords :
"Approximation methods","Particle measurements","Atmospheric measurements","Manuals","Noise","Image segmentation","Shape"
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
ISSN :
1520-6149
Print_ISBN :
978-1-4577-0538-0
Electronic_ISBN :
2379-190X
Type :
conf
DOI :
10.1109/ICASSP.2011.5946633
Filename :
5946633
Link To Document :
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