Full text
|
PDF
- Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (1MB) | Preview |
Correa Farias, Christian and Valero Ubierna, Constantino and Barreiro Elorza, Pilar (2011). Row Crop's Identication Through Hough Transform using Images Segmented by Robust Fuzzy Possibilistic C-Means. In: "Conference of the Spanish Association for Artificial Intelligence (CAEPIA)", 06 de noviembre de 2011.
Title: | Row Crop's Identication Through Hough Transform using Images Segmented by Robust Fuzzy Possibilistic C-Means |
---|---|
Author/s: |
|
Item Type: | Presentation at Congress or Conference (Article) |
Event Title: | Conference of the Spanish Association for Artificial Intelligence (CAEPIA) |
Event Dates: | 06 de noviembre de 2011 |
Title of Book: | Conference of the Spanish Association for Artificial Intelligence (CAEPIA) |
Date: | 6 November 2011 |
Subjects: | |
Freetext Keywords: | Hough, Fuzzy, line detection |
Faculty: | E.T.S.I. Agrónomos (UPM) [antigua denominación] |
Department: | Ingeniería Rural [hasta 2014] |
UPM's Research Group: | LPF-TAGRALIA |
Creative Commons Licenses: | None |
|
PDF
- Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (1MB) | Preview |
The Hough transform (HT) is a widely used method for line detection and recognition, due to its robustness. But its performance is strongly dependent on the applied segmentation technique. On the other hand, Fuzzy C-Means (FCM) has been widely used in image segmentation because it has a good performance in a large class of images. However, it is not good for noisy images, so that to overcome this weakness several modications to FCM have been proposed, like Robust Fuzzy Possibilistic C-Means (RFPCM). In this paper, we propose to use the RFPCM algorithm for the segmentation of crops images in order to apply the HT to detect lines in row crops for navigation purposes. The proposed method gives better results compared with techniques based on visible spectral-index or Specic threshold-based approaches.
Item ID: | 9584 |
---|---|
DC Identifier: | https://oa.upm.es/9584/ |
OAI Identifier: | oai:oa.upm.es:9584 |
Deposited by: | Investigador en formación Christian Correa Farías |
Deposited on: | 31 Oct 2011 14:59 |
Last Modified: | 20 Apr 2016 17:56 |