Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
Cytology Imaging Segmentation Using the Locally Constrained Watershed Transform
Year:2011
Research Areas
  • Artificial intelligence
Information
Abstract
Abstract. The segmentation of medical images poses a great challenge in the area of image processing and analysis due mainly to noise, com- plex background, fuzzy and overlapping objects, and non-homogeneous gradients. This work uses the so-called locally constrained watershed transform introduced by Beare [1] to address these problems. The shape constraints introduced by this type of flexible watershed transformation permit to successfully segment and separate regions of interest. This type of watershed offers an alternative to other methods (such as distance function flooding) for particle extraction in medical imaging segmenta- tion applications, where particle overlapping is quite common. Cytology images have been used for the experimental results.
International
Si
Congress
10th symposium on Mathematical Morphology
960
Place
Intra, Lago Maggiore, Italia
Reviewers
Si
ISBN/ISSN
978-3-642-21568-1
10.1007/978-3-642-21569-8
Start Date
06/07/2011
End Date
08/07/2011
From page
429
To page
438
Mathematical Morphology and Its Applications to Image and Signal Processing. 10th International Symposium, ISMM 2011 Verbania-Intra, Italy, July 6-8, 2011 Proceedings Eds.: Pierre Soille, Martino Pesaresi, Georgios K. Ouzounis
Participants
  • Autor: Nicholas Béliz Osorio (UPM)
  • Autor: Jose Crespo Del Arco (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Informática Biomédica (GIB)
  • Departamento: Inteligencia Artificial
S2i 2019 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)