Full-automatic glottis segmentation with active shape models

Published

Conference Paper

© 2011 Firenze University Press. In this paper we present a new fullautomatic glottis segmentation scheme that combines traditional bottom-up image processing techniques with high-level shape constraints provided by the active shape Models. unlike previous statistical segmentation approaches, which try to accurately detect the location of the glottis as initialization for the algorithm, we incorporate a new reliability score selector at the final stage of the scheme. the result is a robust and flexible algorithm able to deal with most acquisition techniques, even with stroboscopic videos. the good behavior of the algorithm has been successfully tested in a set of 170 frames extracted from 30 stroboscopic recordings.

Duke Authors

Cited Authors

  • Cerrolaza, JJ; Osma, V; Sáenz, N; Villanueva, A; Gutiérrez, JM; Godino, JI; Cabeza, R

Published Date

  • January 1, 2011

Published In

  • Models and Analysis of Vocal Emissions for Biomedical Applications 7th International Workshop, Maveba 2011

Start / End Page

  • 35 - 38

International Standard Book Number 13 (ISBN-13)

  • 9788866550099

Citation Source

  • Scopus