Characterization of vineyard's canopy through fuzzy clustering and svm over color images

Correa Farias, Christian and Valero Ubierna, Constantino and Barreiro Elorza, Pilar (2012). Characterization of vineyard's canopy through fuzzy clustering and svm over color images. In: "International Conference of Agricultural Engineering", 8-12 sw junio de 2012.

Description

Title: Characterization of vineyard's canopy through fuzzy clustering and svm over color images
Author/s:
  • Correa Farias, Christian
  • Valero Ubierna, Constantino
  • Barreiro Elorza, Pilar
Item Type: Presentation at Congress or Conference (Article)
Event Title: International Conference of Agricultural Engineering
Event Dates: 8-12 sw junio de 2012
Title of Book: International Conference of Agricultural Engineering 2012
Date: 8 July 2012
Subjects:
Faculty: E.T.S.I. Agrónomos (UPM) [antigua denominación]
Department: Ingeniería Rural [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

In this work we propose an image acquisition and processing methodology (framework) developed for performance in-field grapes and leaves detection and quantification, based on a six step methodology: 1) image segmentation through Fuzzy C-Means with Gustafson Kessel (FCM-GK) clustering; 2) obtaining of FCM-GK outputs (centroids) for acting as seeding for K-Means clustering; 3) Identification of the clusters generated by K-Means using a Support Vector Machine (SVM) classifier. 4) Performance of morphological operations over the grapes and leaves clusters in order to fill holes and to eliminate small pixels clusters; 5)Creation of a mosaic image by Scale-Invariant Feature Transform (SIFT) in order to avoid overlapping between images; 6) Calculation of the areas of leaves and grapes and finding of the centroids in the grape bunches. Image data are collected using a colour camera fixed to a mobile platform. This platform was developed to give a stabilized surface to guarantee that the images were acquired parallel to de vineyard rows. In this way, the platform avoids the distortion of the images that lead to poor estimation of the areas. Our preliminary results are promissory, although they still have shown that it is necessary to implement a camera stabilization system to avoid undesired camera movements, and also a parallel processing procedure in order to speed up the mosaicking process.

More information

Item ID: 13687
DC Identifier: http://oa.upm.es/13687/
OAI Identifier: oai:oa.upm.es:13687
Deposited by: Investigador en formación Christian Correa Farías
Deposited on: 10 Oct 2012 06:40
Last Modified: 21 Apr 2016 13:01
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