Please use this identifier to cite or link to this item: http://hdl.handle.net/10174/13680

Title: Importance of automatic threshold for image segmentation for accurate measurement of fine roots of woody plants
Authors: Surový, Peter
Dinis, Cati
Marušák, Róbert
Ribeiro, Nuno
Keywords: fine roots
digital image
automatic thresholding
comparison of methods
Issue Date: 2014
Publisher: Lesnícky časopis - Forestry Journal
Citation: Surovy, P; Dinis, C; Marusak, R; Ribeiro, NA (2014) Importance of automatic threshold for image segmentation for accurate measurement of fine roots of woody plants. Lesn. Cas. For. J., n. 60, p. 244-249.
Abstract: The fine roots are considered the key organs for plant survival, growth and productivity. Measurement of fine roots variables is easily and conveniently achieved by means of digital image. The descriptive variables like root area, surface, total length and diameter distribution may be obtained from the image. Analysis of digital image consists from several steps, each of them represents potential source of the error. In this article we want to evaluate the automatic thresholding and its impact on principal variables obtainable from digital scans of the fine roots. We compare 16 different thresholding methods and compare them with the human processed binary images of roots of cork oak (Quercus suber L.). We found some of the thresholding methods perform significantly better than others in the estimation of total projected area however the length estimation error points out a little different order of accuracy.
URI: http://www.nlcsk.sk/files/4539.pdf
http://hdl.handle.net/10174/13680
Type: article
Appears in Collections:FIT - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica
ICAAM - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica

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