A new approach for the glotis segmentation using Snakes

Andrade Miranda, Gustavo Xavier; Saenz Lechón, Nicolás; Osma Ruiz, Victor José y Godino Llorente, Juan Ignacio (2013). A new approach for the glotis segmentation using Snakes. En: "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.

Descripción

Título: A new approach for the glotis segmentation using Snakes
Autor/es:
  • Andrade Miranda, Gustavo Xavier
  • Saenz Lechón, Nicolás
  • Osma Ruiz, Victor José
  • Godino Llorente, Juan Ignacio
Tipo de Documento: Ponencia en Congreso o Jornada (Póster)
Título del Evento: BIOSIGNALS 2013. 6th International Conference on Bio-Inspired Systems and Signal Processing
Fechas del Evento: 11/02/2013 - 14/02/2013
Lugar del Evento: Barcelona (España)
Título del Libro: BIOSIGNALS 2013 Proceedings of the I nternational Conference on Bio-inspired Systems and Signal Processing, Barcelona, Spain 11 - 14 February, 2013
Fecha: 2013
ISBN: 978-989-8565-36-5
Materias:
Palabras Clave Informales: Snakes, Gradient Vector Flow, Glottis Segmentation, Anisotropic Filter.
Escuela: E.U.I.T. Telecomunicación (UPM) [antigua denominación]
Departamento: Ingeniería de Circuitos y Sistemas [hasta 2014]
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

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).

Más información

ID de Registro: 33272
Identificador DC: http://oa.upm.es/33272/
Identificador OAI: oai:oa.upm.es:33272
URL Oficial: http://www.biosignals.biostec.org/Home.aspx?y=2013
Depositado por: Memoria Investigacion
Depositado el: 21 Abr 2015 16:36
Ultima Modificación: 21 Abr 2015 16:36
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