A new approach for the glotis segmentation using Snakes

Andrade Miranda, Gustavo Xavier and Saenz Lechón, Nicolás and Osma Ruiz, Victor José and Godino Llorente, Juan Ignacio (2013). A new approach for the glotis segmentation using Snakes. In: "BIOSIGNALS 2013. 6th International Conference on Bio-Inspired Systems and Signal Processing", 11/02/2013 - 14/02/2013, Barcelona (España). ISBN 978-989-8565-36-5. pp. 318-322.

Description

Title: A new approach for the glotis segmentation using Snakes
Author/s:
  • Andrade Miranda, Gustavo Xavier
  • Saenz Lechón, Nicolás
  • Osma Ruiz, Victor José
  • Godino Llorente, Juan Ignacio
Item Type: Presentation at Congress or Conference (Poster)
Event Title: BIOSIGNALS 2013. 6th International Conference on Bio-Inspired Systems and Signal Processing
Event Dates: 11/02/2013 - 14/02/2013
Event Location: Barcelona (España)
Title of Book: BIOSIGNALS 2013 Proceedings of the I nternational Conference on Bio-inspired Systems and Signal Processing, Barcelona, Spain 11 - 14 February, 2013
Date: 2013
ISBN: 978-989-8565-36-5
Subjects:
Freetext Keywords: Snakes, Gradient Vector Flow, Glottis Segmentation, Anisotropic Filter.
Faculty: E.U.I.T. Telecomunicación (UPM)
Department: Ingeniería de Circuitos y Sistemas [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

The present work describes a new methodology for the automatic detection of the glottal space from laryngeal images based on active contour models (snakes). In order to obtain an appropriate image for the use of snakes based techniques, the proposed algorithm combines a pre-processing stage including some traditional techniques (thresholding and median filter) with more sophisticated ones such as anisotropic filtering. The value selected for the thresholding was fixed to the 85% of the maximum peak of the image histogram, and the anisotropic filter permits to distinguish two intensity levels, one corresponding to the background and the other one to the foreground (glottis). The initialization carried out is based on the magnitude obtained using the Gradient Vector Flow field, ensuring an automatic process for the selection of the initial contour. The performance of the algorithm is tested using the Pratt coefficient and compared against a manual segmentation. The results obtained suggest that this method provided results comparable with other techniques such as the proposed in (Osma-Ruiz et al., 2008).

More information

Item ID: 33272
DC Identifier: http://oa.upm.es/33272/
OAI Identifier: oai:oa.upm.es:33272
Official URL: http://www.biosignals.biostec.org/Home.aspx?y=2013
Deposited by: Memoria Investigacion
Deposited on: 21 Apr 2015 16:36
Last Modified: 21 Apr 2015 16:36
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