Level Set Segmentation with Shape and Appearance Models Using Affine Moment Descriptors

Platero Dueñas, Carlos and Tobar Puente, M. del Carmen and Sanguino Botella, Fco. Javier and Poncela Pardo, Jose Manuel and Velasco Manuel, Olga (2011). Level Set Segmentation with Shape and Appearance Models Using Affine Moment Descriptors. In: "IbPRIA'11 5th Iberian conference on Pattern recognition and image analysis", 08/06/2011 - 10/06/2011, Las Palmas de Gran Canaria, España. ISBN 978-3-642-21256-7. pp. 109-116. https://doi.org/10.1007/978-3-642-21257-4_14.

Description

Title: Level Set Segmentation with Shape and Appearance Models Using Affine Moment Descriptors
Author/s:
  • Platero Dueñas, Carlos
  • Tobar Puente, M. del Carmen
  • Sanguino Botella, Fco. Javier
  • Poncela Pardo, Jose Manuel
  • Velasco Manuel, Olga
Item Type: Presentation at Congress or Conference (Article)
Event Title: IbPRIA'11 5th Iberian conference on Pattern recognition and image analysis
Event Dates: 08/06/2011 - 10/06/2011
Event Location: Las Palmas de Gran Canaria, España
Title of Book: IbPRIA'11 Proceedings of the 5th Iberian conference on Pattern recognition and image analysis
Date: 2011
ISBN: 978-3-642-21256-7
Subjects:
Faculty: E.U.I.T. Industrial (UPM)
Department: Electrónica, Automática e Informática Industrial [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

We propose a level set based variational approach that incorporates shape priors into edge-based and region-based models. The evolution of the active contour depends on local and global information. It has been implemented using an efficient narrow band technique. For each boundary pixel we calculate its dynamic according to its gray level, the neighborhood and geometric properties established by training shapes. We also propose a criterion for shape aligning based on affine transformation using an image normalization procedure. Finally, we illustrate the benefits of the our approach on the liver segmentation from CT images.

More information

Item ID: 13031
DC Identifier: http://oa.upm.es/13031/
OAI Identifier: oai:oa.upm.es:13031
DOI: 10.1007/978-3-642-21257-4_14
Deposited by: Memoria Investigacion
Deposited on: 05 Dec 2012 12:26
Last Modified: 21 Apr 2016 12:20
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