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Hapca, S., Houston, A.N., Otten, W. and Baveye. P. (2013) New Objective Segmentation Method Based on Minimizing Locally the Intra-Class Variance of Grayscale Images. Vadoze Zone, 12, 13 p.
http://dx.doi.org/10.2136/vzj2012.0172

has been cited by the following article:

• TITLE: X-Ray Computed Tomography for Root Quantification

  AUTHORS: Bente Foereid

  KEYWORDS: Roots, 3D Image, X-Ray Computed Tomography

  JOURNAL NAME: Open Journal of Soil Science, Vol.5 No.7, July 7, 2015

  ABSTRACT: Soil cores from a field growing barley and barley mutants without root hairs under conventional and minimum tillage were sampled. They were X-ray scanned to produce a 3D image and then the roots were washed out and weight and length were determined by conventional means. Root volume and surface area were then calculated from the 3D images using state of the art software and methodology, and the measured and calculated measures were correlated. The only strong and significant correlation was between measured weight and calculated volume for mutants without root hairs. It is concluded that the software cannot segment out very small roots, but segmentation accuracy also depends on root structure in some unknown way. Any study using X-ray computed tomography to quantify roots as they grow in situ should start with a calibration for the conditions in question.