Segmentation of the glottal space from laryngeal images using the watershed transform

Osma Ruiz, Víctor and Godino Llorente, Juan Ignacio and Sáenz Lechón, Nicolas and Fraile Muñoz, Rubén (2008). Segmentation of the glottal space from laryngeal images using the watershed transform. "Computerized Medical Imaging and Graphics", v. 32 (n. 3); pp. 193-201. ISSN 0895-6111. https://doi.org/10.1016/j.compmedimag.2007.12.003.

Description

Title: Segmentation of the glottal space from laryngeal images using the watershed transform
Author/s:
  • Osma Ruiz, Víctor
  • Godino Llorente, Juan Ignacio
  • Sáenz Lechón, Nicolas
  • Fraile Muñoz, Rubén
Item Type: Article
Título de Revista/Publicación: Computerized Medical Imaging and Graphics
Date: April 2008
ISSN: 0895-6111
Volume: 32
Subjects:
Freetext Keywords: Image segmentation; Watershed; Region merging; Just noticeable difference; Kymography
Faculty: E.U.I.T. Telecomunicación (UPM)
Department: Ingeniería de Circuitos y Sistemas [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

Full text

[img]
Preview
PDF - Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (1MB) | Preview

Abstract

The present work describes a new method for the automatic detection of the glottal space from laryngeal images obtained either with high speed or with conventional video cameras attached to a laryngoscope. The detection is based on the combination of several relevant techniques in the field of digital image processing. The image is segmented with a watershed transform followed by a region merging, while the final decision is taken using a simple linear predictor. This scheme has successfully segmented the glottal space in all the test images used. The method presented can be considered a generalist approach for the segmentation of the glottal space because, in contrast with other methods found in literature, this approach does not need either initialization or finding strict environmental conditions extracted from the images to be processed. Therefore, the main advantage is that the user does not have to outline the region of interest with a mouse click. In any case, some a priori knowledge about the glottal space is needed, but this a priori knowledge can be considered weak compared to the environmental conditions fixed in former works.

  • Logo InvestigaM (UPM)
  • Logo GEOUP4
  • Logo Open Access
  • Open Access
  • Logo Sherpa/Romeo
    Check whether the anglo-saxon journal in which you have published an article allows you to also publish it under open access.
  • Logo Dulcinea
    Check whether the spanish journal in which you have published an article allows you to also publish it under open access.
  • Logo de Recolecta
  • Logo del Observatorio I+D+i UPM
  • Logo de OpenCourseWare UPM