Počet záznamů: 1

Detection of Elliptical Particles in Atomic Force Microscopy Images

SYSNO ASEP	0360082
Druh ASEP	C - Konferenční příspěvek (mezinárodní konf.)
Zařazení RIV	D - Článek ve sborníku
Název	Detection of Elliptical Particles in Atomic Force Microscopy Images
Tvůrce(i)	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}
Zdroj.dok.	ICASSP 2011: IEEE International Conference on Acoustics, Speech, and Signal Processing. - Praha : IEEE, 2011 - ISBN 978-1-4577-0539-7
Rozsah stran	s. 1233-1236
Poč.str.	4 s.
Akce	ICASSP 2011: IEEE International Conference on Acoustics, Speech, and Signal Processing
Datum konání	22.05.2011-27.05.2011
Místo konání	Praha
Země	CZ - Česká republika
Typ akce	WRD
Jazyk dok.	eng - angličtina
Země vyd.	CZ - Česká republika
Klíč. slova	particles detection ; atomic force microscopy (AFM) imaging ; watershed segmentation ; image moments ; approximation by ellipses
Vědní obor RIV	IN - Informatika
CEP	1M0572 GA MŠMT - Ministerstvo školství, mládeže a tělovýchovy
	GA203/08/1594 GA ČR - Grantová agentura ČR
	KAN401770651 GA AV ČR - Akademie věd
	GAP103/11/1552 GA ČR - Grantová agentura ČR
CEZ	AV0Z10750506 - UTIA-B (2005-2011)
	AV0Z10100520 - FZU-D (2005-2011)
UT WOS	000296062401119
DOI	10.1109/ICASSP.2011.5946633
Anotace	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.
Pracoviště	Ústav teorie informace a automatizace
Kontakt	Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.
Rok sběru	2012

Počet záznamů: 1