A Comparison of Fuzzy Clustering Algorithms Applied to Feature Extraction on Vineyard

Correa Farias, Christian and Valero Ubierna, Constantino and Barreiro Elorza, Pilar and Diago Santamaria, Maria Paz and Tardaguila Laso, Javier (2011). A Comparison of Fuzzy Clustering Algorithms Applied to Feature Extraction on Vineyard. In: "The Conference of the Spanish Association for Artificial Intelligence", 6-11 de noviembre de 2011.

Description

Title: A Comparison of Fuzzy Clustering Algorithms Applied to Feature Extraction on Vineyard
Author/s:
  • Correa Farias, Christian
  • Valero Ubierna, Constantino
  • Barreiro Elorza, Pilar
  • Diago Santamaria, Maria Paz
  • Tardaguila Laso, Javier
Item Type: Presentation at Congress or Conference (Article)
Event Title: The Conference of the Spanish Association for Artificial Intelligence
Event Dates: 6-11 de noviembre de 2011
Title of Book: Avances en inteligencia artificial
Date: 11 November 2011
Subjects:
Freetext Keywords: Image, FCM, Vineyard, Clustering
Faculty: E.T.S.I. Agrónomos (UPM) [antigua denominación]
Department: Ingeniería Rural [hasta 2014]
UPM's Research Group: LPF-TAGRALIA
Creative Commons Licenses: None

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Abstract

Image segmentation is a process by which an image is partitioned into regions with similar features. Many approaches have been proposed for color image segmentation, but Fuzzy C-Means has been widely used, because it has a good performance in a large class of images. However, it is not adequate for noisy images and it also takes more time for execution as compared to other method as K-means. For this reason, several methods have been proposed to improve these weaknesses. Method like Possibilistic C-Means, Fuzzy Possibilistic C-Means, Robust Fuzzy Possibilistic C-Means and Fuzzy C-Means with Gustafson-Kessel algorithm. In this paper we perform a comparison of these clustering algorithms applied to feature extraction on vineyard images. Segmented images are evaluated using several quality parameters such as the rate of correctly classied area and runtime

More information

Item ID: 9246
DC Identifier: http://oa.upm.es/9246/
OAI Identifier: oai:oa.upm.es:9246
Deposited by: Investigador en formación Christian Correa Farías
Deposited on: 28 Oct 2011 16:00
Last Modified: 20 Apr 2016 17:44
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