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<bibitem type="A">   <ARLID>0380797</ARLID> <utime>20240103201228.3</utime><mtime>20130404235959.9</mtime>         <title language="eng" primary="1">Measurement of Vocal Fold Features in Videokymography Images</title>  <specification> <page_count>1 s.</page_count> <media_type>P</media_type> </specification>   <serial><ARLID>cav_un_epca*0380796</ARLID><title>Proc. BioImage Informatics</title><part_num/><part_title/><page_num>53</page_num><publisher><place>Dresden</place><name>Max Planck Institute, CBG</name><year>2012</year></publisher></serial>    <keyword>videokymography</keyword>   <keyword>vocal folds measurement</keyword>   <keyword>image processing</keyword>    <author primary="1"> <ARLID>cav_un_auth*0239988</ARLID> <name1>Sedlář</name1> <name2>Jiří</name2> <full_dept language="cz">Zpracování obrazové informace</full_dept> <full_dept language="eng">Department of Image Processing</full_dept> <department language="cz">ZOI</department> <department language="eng">ZOI</department> <institution>UTIA-B</institution>  <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author> <author primary="0"> <ARLID>cav_un_auth*0283562</ARLID> <name1>Novozámský</name1> <name2>Adam</name2> <full_dept language="cz">Zpracování obrazové informace</full_dept> <full_dept>Department of Image Processing</full_dept> <department language="cz">ZOI</department> <department>ZOI</department> <institution>UTIA-B</institution> <full_dept>Department of Image Processing</full_dept>  <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author> <author primary="0"> <ARLID>cav_un_auth*0283563</ARLID> <name1>Švec</name1> <name2>J.G.</name2> <country>CZ</country>  </author> <author primary="0"> <ARLID>cav_un_auth*0101238</ARLID> <name1>Zitová</name1> <name2>Barbara</name2> <full_dept language="cz">Zpracování obrazové informace</full_dept> <full_dept>Department of Image Processing</full_dept> <department language="cz">ZOI</department> <department>ZOI</department> <institution>UTIA-B</institution> <full_dept>Department of Image Processing</full_dept>  <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author> <author primary="0"> <ARLID>cav_un_auth*0101087</ARLID> <name1>Flusser</name1> <name2>Jan</name2> <full_dept language="cz">Zpracování obrazové informace</full_dept> <full_dept>Department of Image Processing</full_dept> <department language="cz">ZOI</department> <department>ZOI</department> <institution>UTIA-B</institution> <full_dept>Department of Image Processing</full_dept>  <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author>   <source> <url>http://library.utia.cas.cz/separaty/2013/ZOI/sedlar-measurement of vocal fold features in videokymography images.pdf</url> </source>        <cas_special> <project> <project_id>GAP103/11/1552</project_id> <agency>GA ČR</agency> <ARLID>cav_un_auth*0273618</ARLID> </project>  <abstract language="eng" primary="1">Videokymography is a novel video recording technique used in laryngology and phoniatrics for examination of vocal folds. A videokymographic camera acquires brightness values only in one row but with a high-speed rate of 7200 lines/s. It can thus capture gradual movements of vocal folds, albeit in one dimension. The resulting videokymogram is a spatio-temporal image of vocal fold vibrations along a line perpendicular to the glottal dorsoventral axis over a short period of time. The advantages of videokymography include low costs and low amount of data to process. Manual analysis of videokymograms is, however, difficult and time-consuming, mainly due to noise, reflections and low contrast in the images as well as high number of vocal fold parameters. The possibility of computer-aided diagnostics is thus of great interest. The objective of this project was to develop (semi)automatic methods for measurement of selected vocal fold features.</abstract>  <action target="WRD"> <ARLID>cav_un_auth*0283564</ARLID> <name>Bioimage Informatics</name> <place>Dresden</place> <dates>16.09.2012-19.09.2012</dates>  <country>DE</country> </action>   <reportyear>2014</reportyear>  <RIV>JD</RIV>      <num_of_auth>5</num_of_auth>  <unknown tag="mrcbC52"> 4 O 4o 20231122135211.0 </unknown>  <permalink>http://hdl.handle.net/11104/0220516</permalink>        <arlyear>2012</arlyear>    <unknown tag="mrcbTft">  Soubory v repozitáři: 0380797.pdf </unknown>    <unknown tag="mrcbU63"> cav_un_epca*0380796 Proc. BioImage Informatics 53 Proc. BioImage Informatics Dresden Max Planck Institute, CBG 2012 </unknown> </cas_special> </bibitem>