Number of the records: 1

Detection of Elliptical Particles in Atomic Force Microscopy Images

SYSNO ASEP	0360082
Document Type	C - Proceedings Paper (int. conf.)
R&D Document Type	Conference Paper
Title	Detection of Elliptical Particles in Atomic Force Microscopy Images
Author(s)	Sedlář, Jiří (UTIA-B) Zitová, Barbara (UTIA-B)_{RID, ORCID} Kopeček, Jaromír (FZU-D)_{RID, ORCID} Todorciuc, T. (CZ) Kratochvílová, Irena (FZU-D)_{RID, ORCID, SAI}
Source Title	ICASSP 2011: IEEE International Conference on Acoustics, Speech, and Signal Processing. - Praha : IEEE, 2011 - ISBN 978-1-4577-0539-7
Pages	s. 1233-1236
Number of pages	4 s.
Action	ICASSP 2011: IEEE International Conference on Acoustics, Speech, and Signal Processing
Event date	22.05.2011-27.05.2011
VEvent location	Praha
Country	CZ - Czech Republic
Event type	WRD
Language	eng - English
Country	CZ - Czech Republic
Keywords	particles detection ; atomic force microscopy (AFM) imaging ; watershed segmentation ; image moments ; approximation by ellipses
Subject RIV	IN - Informatics, Computer Science
R&D Projects	1M0572 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
	GA203/08/1594 GA ČR - Czech Science Foundation (CSF)
	KAN401770651 GA AV ČR - Academy of Sciences of the Czech Republic (AV ČR)
	GAP103/11/1552 GA ČR - Czech Science Foundation (CSF)
CEZ	AV0Z10750506 - UTIA-B (2005-2011)
	AV0Z10100520 - FZU-D (2005-2011)
UT WOS	000296062401119
DOI	10.1109/ICASSP.2011.5946633
Annotation	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.
Workplace	Institute of Information Theory and Automation
Contact	Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.
Year of Publishing	2012

Number of the records: 1