Methodology of image analysis for study of the vertisols moisture content

Cumbrera Gonzalez, Ramiro Alberto and Milán Vega, Humberto and Tarquis Alfonso, Ana Maria (2014). Methodology of image analysis for study of the vertisols moisture content. In: "Actas del IX Congreso Internacional de Educación Superior. Del 10 al 14 de febrero de 2014, La Habana, Cuba.", 10/02/2014-14/02/2014, La Habana, Cuba. p. 11.

Description

Title: Methodology of image analysis for study of the vertisols moisture content
Author/s:
  • Cumbrera Gonzalez, Ramiro Alberto
  • Milán Vega, Humberto
  • Tarquis Alfonso, Ana Maria
Item Type: Presentation at Congress or Conference (Article)
Event Title: Actas del IX Congreso Internacional de Educación Superior. Del 10 al 14 de febrero de 2014, La Habana, Cuba.
Event Dates: 10/02/2014-14/02/2014
Event Location: La Habana, Cuba
Title of Book: 9º Congreso Internacional de Educación Superior
Date: 2014
Subjects:
Faculty: E.T.S.I. Agrónomos (UPM) [antigua denominación]
Department: Matemática Aplicada
Creative Commons Licenses: Recognition - No derivative works - Non commercial

Full text

[img]
Preview
PDF - Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (549kB) | Preview

Abstract

The main problem to study vertical drainage from the moisture distribution, on a vertisol profile, is searching for suitable methods using these procedures. Our aim was to design a digital image processing methodology and its analysis to characterize the moisture content distribution of a vertisol profile. In this research, twelve soil pits were excavated on a ba re Mazic Pellic Vertisols ix of them in May 13/2011 and the rest in May 19 /2011 after a moderate rainfall event. Digital RGB images were taken from each vertisol pit using a Kodak? camera selecting a size of 1600x945 pixels. Each soil image was processed to homogenized brightness and then a spatial filter with several window sizes was applied to select the optimum one. The RGB image obtained were divided in each matrix color selecting the best thresholds for each one, maximum and minimum, to be applied and get a digital binary pattern. This one was analyzed by estimating two fractal scaling exponents box counting dimension D BC) and interface fractal dimension (D) In addition, three pre-fractal scaling coefficients were determinate at maximum resolution: total number of boxes intercepting the foreground pattern (A), fractal lacunarity (?1) and Shannon entropy S1). For all the images processed the spatial filter 9x9 was the optimum based on entropy, cluster and histogram criteria. Thresholds for each color were selected based on bimodal histograms.

More information

Item ID: 37058
DC Identifier: http://oa.upm.es/37058/
OAI Identifier: oai:oa.upm.es:37058
Deposited by: Memoria Investigacion
Deposited on: 03 Aug 2015 16:51
Last Modified: 06 Jun 2016 16:51
  • 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