Počet záznamů: 1
Detection of Elliptical Particles in Atomic Force Microscopy Images
- 1.
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, SAIZdroj.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