Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
Color Image Segmentation by Partitional Clustering Algorithms
Year:2010
Research Areas
  • Mathematics,
  • Engineering
Information
Abstract
This paper presents the results of some partitional clustering algorithms applied to the segmentation of color images in the RGB space. As more information is involved in the algorithm, and the distance measure is more flexible, the better the results. The selected algorithms for this work are the K-means, the FCM, the GK-B, and the GKPFCM. The GKPFCM gives the better results when all the algorithms are applied to the segmentation of two images, an image of bananas and the other one of tomates at different stages of ripeness in both cases. The results are interesting as it is possible to identify the objects, to determine the degree of ripeness, and to estimate the amount and proportion of ripe objects for a possible decision-making.
International
Si
Congress
36th Annual Conference of the IEEE Industrial Electronics Society, IECON 2010
960
Place
Glendale, AZ, USA
Reviewers
Si
ISBN/ISSN
1553-572X
DOI. 10.1109/IECON.2010.5675072
Start Date
07/11/2010
End Date
10/11/2010
From page
2828
To page
2833
Proc. of the 36th Annual Conference of the IEEE Industrial Electronics Society, IECON 2010
Participants
  • Autor: Benjamín Ojeda Magaña (UPM)
  • Autor: Diego Andina De la Fuente (UPM)
  • Participante: R Ruelas
  • Autor: Joel Quintanilla Dominguez (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Automatización en Señal y Comunicaciones (GASC)
  • Departamento: Señales, Sistemas y Radiocomunicaciones
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)