Observatorio de I+D+i UPM

Memorias de investigación
Ponencias en congresos:
Identification of masses in mammograms by image sub-segmentation
Año:2011
Áreas de investigación
  • Ingenierías
Datos
Descripción
Mass detection in mammography is a complex and challenge problem for digital image processing. Partitional clustering algorithms are a good alternative for automatic detection of such elements, but have the disadvantage of having to segment an image into a number of regions, the number of which is unknown in advance, in addition to discrete approximations of the regions of interest. In this work we use a method of image sub-segmentation to identify possible masses in mammography. The advantage of this method is that the number of regions to segment the image is a known value so the algorithm is applied only once. Additionally, there is a parameter a that can change between 1 and 0 in a continuous way, offering the possibility of a continuous and more accurate approximation of the region of interest. Finally, since the identification of masses is based on the internal similarity of a group data, this method offers the possibility to identify such objects even from a small number of pixels in digital images. This paper presents an illustrative example using the traditional segmentation of images and the sub-segmentation method, which highlights the potential of the alternative we propose for such problems.
Internacional
Si
Nombre congreso
International Conference on Soft Computing Models in Industrial and Environmental Applications, SOCO 2011.
Tipo de participación
960
Lugar del congreso
Salamanca, Spain
Revisores
Si
ISBN o ISSN
1867-5662
DOI
10.1007/978-3-642-19644-7_62
Fecha inicio congreso
06/04/2011
Fecha fin congreso
08/04/2011
Desde la página
589
Hasta la página
598
Título de las actas
Proc. of the International Conference on Soft Computing Models in Industrial and Environmental Applications, SOCO 2011, Advances in Intelligent and Soft Computing, 2011, Volume 87/2011
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Benjamín Ojeda Magaña (UPM)
  • Autor: Rubén Ruelas (Universidad de Guadalajara, México)
  • Autor: Joel Quintanilla Dominguez (UPM)
  • Autor: Mª Adeiana Corona Nakamura (Universidad de Guadalajara, 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
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