Full text
Preview |
PDF (A Comparison of Fuzzy Clustering Algorithms Applied to Feature Extraction on Vineyard)
- Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (4MB) | Preview |
A Comparison of Fuzzy Clustering Algorithms Applied to Feature Extraction on Vineyard
Citation
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: |
|
| 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 |
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: | https://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 |
