A region and contour based technique for automatic detection of tomato roots in minirhizotron images

Erz G, Veste M, Anlauf H, Breckle S-W, Posch S (2005)
Journal of Applied Botany and Food Quality -Angewandte Botanik 79(2): 83-88.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
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Autor*in
Erz, G.; Veste, Maik; Anlauf, H.; Breckle, Siegmar-WalterUniBi; Posch, Stefan
Abstract / Bemerkung
The use of minirhizotrons is a common tool to investigate fine roots turn-over in a variety of ecosystems. Manual analysis of the resulting images is very time consuming, however. An improved approach for automatic root detection combining region and contour based techniques was developed. The first step is aimed at detecting easily recognizable parts of the root (optimally at least one part of each root), which will be called a R-SEED subsequently in this paper. In a second phase each R-SEED is expanded with a more sophisticated algorithm to find the boundaries of the complete root. 14 time series with 3 to 8 images of tomato fine roots were digitized, processed and used to validate the approach. As the R-SEED detection influences the overall performance strongly the approach benefits from the improved algorithm. In four out of five images from one time series examined in detail the root area detected is nearly correct with an relative error between -8.8% and +7.3%. In one image the detection fails substantially due to decomposed roots. In general, the root area detected is systematically lower than the area marked manually.
Erscheinungsjahr
2005
Zeitschriftentitel
Journal of Applied Botany and Food Quality -Angewandte Botanik
Band
79
Ausgabe
2
Seite(n)
83-88
ISSN
1613-9216
Page URI
https://pub.uni-bielefeld.de/record/1602297

Zitieren

Erz G, Veste M, Anlauf H, Breckle S-W, Posch S. A region and contour based technique for automatic detection of tomato roots in minirhizotron images. Journal of Applied Botany and Food Quality -Angewandte Botanik. 2005;79(2):83-88.
Erz, G., Veste, M., Anlauf, H., Breckle, S. - W., & Posch, S. (2005). A region and contour based technique for automatic detection of tomato roots in minirhizotron images. Journal of Applied Botany and Food Quality -Angewandte Botanik, 79(2), 83-88.
Erz, G., Veste, M., Anlauf, H., Breckle, S. - W., and Posch, S. (2005). A region and contour based technique for automatic detection of tomato roots in minirhizotron images. Journal of Applied Botany and Food Quality -Angewandte Botanik 79, 83-88.
Erz, G., et al., 2005. A region and contour based technique for automatic detection of tomato roots in minirhizotron images. Journal of Applied Botany and Food Quality -Angewandte Botanik, 79(2), p 83-88.
G. Erz, et al., “A region and contour based technique for automatic detection of tomato roots in minirhizotron images”, Journal of Applied Botany and Food Quality -Angewandte Botanik, vol. 79, 2005, pp. 83-88.
Erz, G., Veste, M., Anlauf, H., Breckle, S.-W., Posch, S.: A region and contour based technique for automatic detection of tomato roots in minirhizotron images. Journal of Applied Botany and Food Quality -Angewandte Botanik. 79, 83-88 (2005).
Erz, G., Veste, Maik, Anlauf, H., Breckle, Siegmar-Walter, and Posch, Stefan. “A region and contour based technique for automatic detection of tomato roots in minirhizotron images”. Journal of Applied Botany and Food Quality -Angewandte Botanik 79.2 (2005): 83-88.

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