bibtype D - Thesis
ARLID 0391289
utime 20240103202426.8
mtime 20140107235959.9
title (primary) (eng) Image Analysis in Microscopy and Videokymography
publisher
place Prague
name Charles University
pub_time 2012
specification
page_count 105 s.
media_type P
title (eng) Image Analysis in Microscopy and Videokymography
keyword image analysis
keyword computer-aided evaluation
keyword light microscopy
keyword atomic force microscopy
keyword videokymography
author (primary)
ARLID cav_un_auth*0239988
name1 Sedlář
name2 Jiří
full_dept (cz) Zpracování obrazové informace
full_dept (eng) Department of Image Processing
department (cz) ZOI
department (eng) ZOI
institution UTIA-B
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
cas_special
research CEZ:AV0Z1075907
abstract (eng) The Thesis describes new methods for automatic processing of image data in biology, physics and medicine. The developed methods reconstruct light microscopy images of growing microorganisms in intervals between observations, measure particles in atomic force microscopy images, and evaluate parameters of vocal fold vibrations in videokymographic images. All three problems have been hitherto solved primarily visually. The proposed methods allow automatic or computer-aided processing of the image data, and thus facilitate the evaluation process. Performance of the developed methods was tested on real images; the results were comparable with ground truth or results of visual evaluation. Application of the developed methods is not limited to the specific type of image data; the methods can be used in general for processing of images with similar characteristics.
reportyear 2014
RIV IN
habilitation
dates 19.03.2013
degree Ph.D.
institution Ústav teorie informace a automatizace AV ČR
place Prague
year 2012
num_of_auth 1
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0228637
arlyear 2012
mrcbU10 2012
mrcbU10 Prague Charles University