Row Crop's Identication Through Hough Transform using Images Segmented by Robust Fuzzy Possibilistic C-Means

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.

Description

Title: Row Crop's Identication Through Hough Transform using Images Segmented by Robust Fuzzy Possibilistic C-Means
Author/s:
  • Correa Farias, Christian
  • Valero Ubierna, Constantino
  • Barreiro Elorza, Pilar
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

Full text

[img]
Preview
PDF - Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (1MB) | Preview

Abstract

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.

More information

Item ID: 9584
DC Identifier: http://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
  • Logo InvestigaM (UPM)
  • Logo GEOUP4
  • Logo Open Access
  • Open Access
  • Logo Sherpa/Romeo
    Check whether the anglo-saxon journal in which you have published an article allows you to also publish it under open access.
  • Logo Dulcinea
    Check whether the spanish journal in which you have published an article allows you to also publish it under open access.
  • Logo de Recolecta
  • Logo del Observatorio I+D+i UPM
  • Logo de OpenCourseWare UPM