Abstract
Minirhizotrons speed up research on root demography, but image quality often hampers standardization of the image processing method. A simple procedure working on the blue band of colour images was tested on fibrous roots of sugarbeet (Beta vulgaris var. saccharifera). With respect to green and red, the blue band allows better detection of roots when their luminance is very similar to that of the background. The method makes use of an exponential algorithm of contrast stretching, which takes luminance frequency distribution into account. Based on a single threshold level, the procedure includes skeletonization. A minimum segment length was adopted to discriminate roots from extraneous objects. Although a specific minimum root length (MRL) value was calculated for each soil type, results show that a single value can be applied, indicating that this method can be profitably used for processing large samples of images.
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Abbreviations
- ANS:
-
artificial neural systems
- MRL:
-
minimum root length
- RGB:
-
red-green-blue
- RLD:
-
root length density
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Vamerali, T., Ganis, A., Bona, S., Mosca, G. (2000). An approach to minirhizotron root image analysis. In: Stokes, A. (eds) The Supporting Roots of Trees and Woody Plants: Form, Function and Physiology. Developments in Plant and Soil Sciences, vol 87. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-3469-1_31
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DOI: https://doi.org/10.1007/978-94-017-3469-1_31
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