0450604 20240103211217.520160229235959.9 84956651090 000371977800018 10.1109/ICIP.2015.7350763 5 s. C cav_un_epca*0450645978-1-4799-8339-11522-488078-82PiscatawayIEEE2015 videokymography medical imaging data segmentation cav_un_auth*0283562 Zpracování obrazové informace Department of Image Processing ZOI ZOI Department of Image Processing Novozámský Adam UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0239988 Zpracování obrazové informace Department of Image Processing ZOI ZOI Sedlář Jiří UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0293261 Zpracování obrazové informace Department of Image Processing ZOI ZOI Department of Image Processing Zita Aleš UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101209 Zpracování obrazové informace Department of Image Processing ZOI ZOI Department of Image Processing Šroubek Filip UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101087 Zpracování obrazové informace Department of Image Processing ZOI ZOI Department of Image Processing Flusser Jan UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0018322 Švec J. G. CZ cav_un_auth*0322230 Vydrová J. CZ cav_un_auth*0101238 Zpracování obrazové informace Department of Image Processing ZOI ZOI Department of Image Processing Zitová Barbara UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2015/ZOI/novozamsky-0450604.pdf cav_un_auth*0322186 TA04010877 GA TA ČR CZ cav_un_auth*0292734 GA13-29225S GA ČR CZ Videokymography (VKG) is a high-speed medical imaging technique used in laryngology and phoniatrics for examination of vocal fold vibrations, it offers important characteristics for diagnosis and treatment of voice disorders. VKG repeatedly scans only a single line from the scene and captures movements of vocal folds in this region of interest. This paper proposes methods for computer assisted evaluation of diagnostically important vibration features, related to movements of vocal folds and their surroundings. They are derived from existing as well as newly developed methods of digital image processing, mainly based on data segmentation and morphological operations. Performance of the developed methods is compared to expert manual assessments and it proves to be comparable with clinicians conclusions. cav_un_auth*0322185 IEEE International Conference on Image Processing 2015, ICIP 2015 27.09.2015-30.09.2015 Québec City CA IN 2016 8 4 A hod 4ah 20231122141309.6 PR RVO:67985556 http://hdl.handle.net/11104/0251927 cav_un_auth*0313917 Palacký University, Olomouc CZ 1 Department of Image Processing UTIA-B 10200 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS S 2015 Soubory v repozitáři: novozamsky-0450604.pdf 84956651090 SCOPUS 000371977800018 WOS cav_un_epca*0450645 Proceedings of the 2015 IEEE International Conference on Image Processing, ICIP 2015 978-1-4799-8339-1 1522-4880 78 82 Piscataway IEEE 2015