Memorias de investigación
Ponencias en congresos:
Image sub-segmentation by PFCM and Artificial Neural Networks to detect pore space in 2D and 3D CT soil images
Año:2011
Áreas de investigación
  • Ingenierías
Datos
Descripción
The image by Computed Tomography is a non-invasive alternative for observing soil structures, mainly pore space. The pore space correspond in soil data to empty or free space in the sense that no material is present there but only fluids, the fluid transport depend of pore spaces in soil, for this reason is important identify the regions that correspond to pore zones. In this paper we present a methodology in order to detect pore space and solid soil based on the synergy of the image processing, pattern recognition and artificial intelligence. The mathematical morphology is an image processing technique used for the purpose of image enhancement. In order to find pixels groups with a similar gray level intensity, or more or less homogeneous groups, a novel image sub-segmentation based on a Possibilistic Fuzzy c-Means (PFCM) clustering algorithm was used. The Artificial Neural Networks (ANNs) are very efficient for demanding large scale and generic pattern recognition applications for this reason finally a classifier based on artificial neural network is applied in order to classify soil images in two classes, pore space and solid soil respectively.
Internacional
Si
Nombre congreso
European Geosciences Union General Assembly (EGU 2011)
Tipo de participación
960
Lugar del congreso
Viena, Austria
Revisores
Si
ISBN o ISSN
1607-7962
DOI
Fecha inicio congreso
03/04/2011
Fecha fin congreso
08/04/2011
Desde la página
11829
Hasta la página
11829
Título de las actas
8th EGU General Assembly. Geophysical Research Abstracts, 13, 8656 (2011). [http://www.geophysical-research-abstracts.net]
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Joel Quintanilla Dominguez UPM
  • Autor: María Guadalupe Cortina Januchs UPM
  • Autor: Benjamín Ojeda Magaña UPM
  • Autor: Antonio Vega Corona Universidad de Guanajuato. México
  • Autor: Diego Andina De la Fuente UPM
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Automatización en Señal y Comunicaciones (GASC)
  • Departamento: Señales, Sistemas y Radiocomunicaciones