0360082 20240103195233.320111031235959.9 000296062401119 10.1109/ICASSP.2011.5946633 4 s. cav_un_epca*0360081978-1-4577-0539-71233-1236PrahaIEEE2011 particles detection atomic force microscopy (AFM) imaging watershed segmentation image moments approximation by ellipses cav_un_auth*0239988 Sedlář Jiří Zpracování obrazové informace Department of Image Processing ZOI ZOI UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101238 Zitová Barbara Zpracování obrazové informace Department of Image Processing ZOI ZOI UTIA-B Department of Image Processing Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0215563 Kopeček Jaromír Funkční materiály Functional materials FZU-D Functional Metal Materials and Thin Films Fyzikální ústav AV ČR, v. v. i. cav_un_auth*0275385 Todorciuc T. CZ cav_un_auth*0100323 Kratochvílová Irena Funkční materiály Functional materials FZU-D Fabrication and Analysis of Functional Materials Fyzikální ústav AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2011/ZOI/sedlar-detection of elliptical particles in atomic force microscopy images.pdf 1M0572 GA MŠk cav_un_auth*0001814 GA203/08/1594 GA ČR cav_un_auth*0240400 KAN401770651 GA AV ČR cav_un_auth*0217530 GAP103/11/1552 GA ČR cav_un_auth*0273618 CEZ:AV0Z10750506 CEZ:AV0Z10100520 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. cav_un_auth*0272365 ICASSP 2011: IEEE International Conference on Acoustics, Speech, and Signal Processing Praha 22.05.2011-27.05.2011 CZ 2012 IN http://hdl.handle.net/11104/0197718 2011 000296062401119 WOS cav_un_epca*0360081 ICASSP 2011: IEEE International Conference on Acoustics, Speech, and Signal Processing 978-1-4577-0539-7 1233 1236 Praha IEEE 2011