Pixel classification through Mahalanobis distance for identification of grapevine canopy elements on RGB images

Herrero Langreo, Ana and Barreiro Elorza, Pilar and Diago Santamaria, Maria Paz and Baluja, J. and Ochagavia, H. and Tardaguila Laso, Javier (2010). Pixel classification through Mahalanobis distance for identification of grapevine canopy elements on RGB images. In: "IASIM-10", 18/11/2010 - 19/11/2010, Dublin, Irlanda.

Description

Title: Pixel classification through Mahalanobis distance for identification of grapevine canopy elements on RGB images
Author/s:
  • Herrero Langreo, Ana
  • Barreiro Elorza, Pilar
  • Diago Santamaria, Maria Paz
  • Baluja, J.
  • Ochagavia, H.
  • Tardaguila Laso, Javier
Item Type: Presentation at Congress or Conference (Poster)
Event Title: IASIM-10
Event Dates: 18/11/2010 - 19/11/2010
Event Location: Dublin, Irlanda
Title of Book: Proceedings of the IASIM-10
Date: 2010
Subjects:
Faculty: E.T.S.I. Agrónomos (UPM) [antigua denominación]
Department: Ingeniería Rural [hasta 2014]
UPM's Research Group: LPF-TAGRALIA
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Vine vigour and fruit-cluster exposure to sunlight in a grapevine canopy fruiting zone has been shown to strongly correlate with key fruit composition and diseases incidence. In this framework, the use of automated image analysis for the identification of plant elements is an important issue to be addressed for vineyard assessment (Dunn and Martin, 2004). In addition, optimum segmentation method is strongly application dependent and thus needs to be tested for each particular case (Cheng et al., 2001). The objective of the present work is to propose and test a simple, rapid and practical method for the identification of two relevant elements of grapevines canopy: clusters and green leaves.

More information

Item ID: 7883
DC Identifier: http://oa.upm.es/7883/
OAI Identifier: oai:oa.upm.es:7883
Official URL: http://www.iasim-10.com/
Deposited by: Memoria Investigacion
Deposited on: 01 Aug 2011 08:21
Last Modified: 20 Apr 2016 16:50
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