bibtype |
A -
Abstract
|
ARLID |
0395096 |
utime |
20240111140833.6 |
mtime |
20130926235959.9 |
title
(primary) (eng) |
VKFD: Computerized Analysis of Videokymographic Data |
specification |
page_count |
2 s. |
media_type |
P |
|
serial |
ARLID |
cav_un_epca*0395121 |
ISBN |
978-80-260-4832-9 |
title
|
PEVOC |
page_num |
293-294 |
publisher |
place |
Prague |
name |
Medical Healthcom |
year |
2013 |
|
editor |
name1 |
Domagalský |
name2 |
T. |
|
|
keyword |
videokymography |
keyword |
feature detection |
keyword |
vocal fold |
keyword |
rima glottidis |
author
(primary) |
ARLID |
cav_un_auth*0283562 |
name1 |
Novozámský |
name2 |
Adam |
full_dept (cz) |
Zpracování obrazové informace |
full_dept (eng) |
Department of Image Processing |
department (cz) |
ZOI |
department (eng) |
ZOI |
institution |
UTIA-B |
full_dept |
Department of Image Processing |
fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
author
|
ARLID |
cav_un_auth*0239988 |
name1 |
Sedlář |
name2 |
Jiří |
full_dept (cz) |
Zpracování obrazové informace |
full_dept |
Department of Image Processing |
department (cz) |
ZOI |
department |
ZOI |
institution |
UTIA-B |
fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
author
|
ARLID |
cav_un_auth*0293261 |
name1 |
Zita |
name2 |
Aleš |
full_dept (cz) |
Zpracování obrazové informace |
full_dept |
Department of Image Processing |
department (cz) |
ZOI |
department |
ZOI |
institution |
UTIA-B |
full_dept |
Department of Image Processing |
fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
author
|
ARLID |
cav_un_auth*0293262 |
name1 |
Herbst |
name2 |
Ch. |
country |
CZ |
|
author
|
ARLID |
cav_un_auth*0018322 |
name1 |
Švec |
name2 |
J. G. |
country |
CZ |
|
author
|
ARLID |
cav_un_auth*0101238 |
name1 |
Zitová |
name2 |
Barbara |
full_dept (cz) |
Zpracování obrazové informace |
full_dept |
Department of Image Processing |
department (cz) |
ZOI |
department |
ZOI |
institution |
UTIA-B |
full_dept |
Department of Image Processing |
fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
author
|
ARLID |
cav_un_auth*0101087 |
name1 |
Flusser |
name2 |
Jan |
full_dept (cz) |
Zpracování obrazové informace |
full_dept |
Department of Image Processing |
department (cz) |
ZOI |
department |
ZOI |
institution |
UTIA-B |
full_dept |
Department of Image Processing |
fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
source |
|
cas_special |
abstract
(eng) |
Our paper proposes a software solution for the enhancement of videokymographic data and the extraction of typical characteristics of vocal folds vibrations, such as, e.g., the time-varying extent of rima glottidis and the progression of mucosal waves, and corresponding vibration parameters (e.g. frequency, symmetries, amplitude). The proposed methodology is based on well-established digital image processing methods; namely image denoising, edge detection, image segmentation, and object identification. The set of evaluated features was designed by experts, drawing on their longtime expertise with videokymography. |
action |
ARLID |
cav_un_auth*0293258 |
name |
PEVOC - Pan Europian Voice Conference /10./ |
place |
Prague |
dates |
21.08.2013-24.08.2013 |
country |
CZ |
|
reportyear |
2014 |
RIV |
JD |
num_of_auth |
7 |
mrcbC52 |
4 O 4o 20231122135735.9 |
presentation_type |
PR |
inst_support |
RVO:67985556 |
permalink |
http://hdl.handle.net/11104/0224133 |
arlyear |
2013 |
mrcbTft |
\nSoubory v repozitáři: 0395096.pdf |
mrcbU56 |
pdf |
mrcbU63 |
cav_un_epca*0395121 PEVOC 978-80-260-4832-9 293 294 Prague Medical Healthcom 2013 |
mrcbU67 |
Domagalský T. 340 |
|