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<bibitem type="A">   <ARLID>0395096</ARLID> <utime>20240111140833.6</utime><mtime>20130926235959.9</mtime>         <title language="eng" primary="1">VKFD: Computerized Analysis of Videokymographic Data</title>  <specification> <page_count>2 s.</page_count> <media_type>P</media_type> </specification>   <serial><ARLID>cav_un_epca*0395121</ARLID><ISBN>978-80-260-4832-9</ISBN><title>PEVOC</title><part_num/><part_title/><page_num>293-294</page_num><publisher><place>Prague</place><name>Medical Healthcom</name><year>2013</year></publisher><editor><name1>Domagalský</name1><name2>T.</name2></editor></serial>    <keyword>videokymography</keyword>   <keyword>feature detection</keyword>   <keyword>vocal fold</keyword>   <keyword>rima glottidis</keyword>    <author primary="1"> <ARLID>cav_un_auth*0283562</ARLID> <name1>Novozámský</name1> <name2>Adam</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> <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*0239988</ARLID> <name1>Sedlář</name1> <name2>Jiří</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>  <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author> <author primary="0"> <ARLID>cav_un_auth*0293261</ARLID> <name1>Zita</name1> <name2>Aleš</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*0293262</ARLID> <name1>Herbst</name1> <name2>Ch.</name2> <country>CZ</country>  </author> <author primary="0"> <ARLID>cav_un_auth*0018322</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> <source_type>pdf</source_type> <url>http://library.utia.cas.cz/separaty/2013/ZOI/novozamsky-vkfd computerized analysis of videokymographic data.pdf</url> </source>        <cas_special>  <abstract language="eng" primary="1">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.</abstract>  <action target="WRD"> <ARLID>cav_un_auth*0293258</ARLID> <name>PEVOC - Pan Europian Voice Conference /10./</name> <place>Prague</place> <dates>21.08.2013-24.08.2013</dates>  <country>CZ</country> </action>    <reportyear>2014</reportyear>  <RIV>JD</RIV>      <num_of_auth>7</num_of_auth>  <unknown tag="mrcbC52"> 4 O 4o 20231122135735.9 </unknown> <presentation_type> PR </presentation_type> <inst_support> RVO:67985556 </inst_support>  <permalink>http://hdl.handle.net/11104/0224133</permalink>        <arlyear>2013</arlyear>    <unknown tag="mrcbTft">  Soubory v repozitáři: 0395096.pdf </unknown>    <unknown tag="mrcbU56"> pdf </unknown> <unknown tag="mrcbU63"> cav_un_epca*0395121 PEVOC 978-80-260-4832-9 293 294 Prague Medical Healthcom 2013 </unknown> <unknown tag="mrcbU67"> Domagalský T. 340 </unknown> </cas_special> </bibitem>