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The Scientific World Journal
Volume 2014, Article ID 786896, 11 pages
http://dx.doi.org/10.1155/2014/786896
Research Article

A Method for Calculating the Area of Zostera marina Leaves from Digital Images with Noise Induced by Humidity Content

Centro de Investigación Científica y Educación Superior de Ensenada, Carretera Ensenada-Tijuana No. 3918, Zona Playitas, 22860 Ensenada, BC, Mexico

Received 20 January 2014; Accepted 24 March 2014; Published 4 May 2014

Academic Editor: Jonne Kotta

Copyright © 2014 Cecilia Leal-Ramirez and Hector Echavarria-Heras. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [3 citations]

The following is the list of published articles that have cited the current article.

  • Héctor Echavarría-Heras, Cecilia Leal-Ramírez, Enrique Villa-Diharce, and Oscar Castillo, “Using the value of Lin's concordance correlation coefficient as a criterion for efficient estimation of areas of leaves of eelgrass from noisy digital images.,” Source code for biology and medicine, vol. 9, no. 1, pp. 29, 2014. View at Publisher · View at Google Scholar
  • Cecilia Leal-Ramirez, Héctor Echavarría-Heras, and Oscar Castillo, “Exploring the suitability of a genetic algorithm as tool for boosting efficiency in monte carlo estimation of leaf area of eelgrass,” Studies in Computational Intelligence, vol. 601, pp. 291–303, 2015. View at Publisher · View at Google Scholar
  • Cecilia Leal-Ramírez, Héctor Echavarría-Heras, Oscar Castillo, and Elia Montiel-Arzate, “On the Use of Parallel Genetic Algorithms for Improving the Efficiency of a Monte Carlo-Digital Image Based Approximation of Eelgrass Leaf Area I: Comparing the Performances of Simple and Master-Slaves Structures,” Nature-Inspired Design of Hybrid Intelligent Systems, vol. 667, pp. 431–455, 2016. View at Publisher · View at Google Scholar