Automated Analysis of Stroboscopic Image Sequences by Vibration Profiles

  • A method for automated segmentation of vocal cords in stroboscopic video sequences is presented. In contrast to earlier approaches, the inner and outer contours of the vocal cords are independently delineated. Automatic segmentation of the low contrasted images is carried out by connecting the shape constraint of a point distribution model to a multi-channel regionbased balloon model. This enables us to robustly compute a vibration profile that is used as a new diagnostic tool to visualize several vibration parameters in only one graphic. The vibration profiles are studied in two cases: one physiological vibration and one functional pathology.

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Metadaten
Author:Christoph PalmORCiDGND, Thomas M. Lehmann, J. Bredno, C. Neuschaefer-Rube, S. Klajman, Klaus Spitzer
URL / DOI:https://www.researchgate.net/publication/242439073_Automated_Analysis_of_Stroboscopic_Image_Sequences_by_Vibration_Profiles
Parent Title (English):Advances in Quantitative Laryngoscopy, Voice and Speech Research, Procs. 5th International Workshop
Document Type:conference proceeding (article)
Language:English
Year of first Publication:2001
Release Date:2020/05/13
Tag:Balloon Model; Contour Detection; Point Distribution Model; Stroboscopic Images; Vibration Profile
Institutes:Fakult├Ąt Informatik und Mathematik
Regensburg Medical Image Computing - ReMIC
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke
Publication:Externe Publikationen