Image based evaluation for the detection of cluster parameters in grapevine

Acta Horticulturae

Volumn 1082, Issue , 2015, Pages 335-340

  Kicherer, A ^a   Roscher, R ^b   Herzog, K ^a   Forstner W ^b   Topfer R ^a  

^a INSTITUTE FOR EPIDEMIOLOGY AND PATHOGEN DIAGNOSTICS   (Germany)

^b UNIVERSITY OF BONN   (Germany)

Author keywords

Automation; Cluster analysis tool; Cluster morphology; High throughput phenotyping; Image interpretation; Matlab

Indexed keywords

EID: 84949676633     PISSN: 05677572     EISSN: None     Source Type: Book Series    
DOI: 10.17660/ActaHortic.2015.1082.46     Document Type: Article

References (10)

1. Anonymous. 2009. Http://www.oiv.int/GGTSPU-styx2.bba.de-4838-467537-IjDqG093Dy NEenCf-DAT/oiv/files/5%20-%20Publications/5%20-%201%20Publications%20 OIV/EN/5-1-9-Liste-descripteurs-2ed-EN.pdf.
2. Chan, T.F. And Vese, L.A. 2001. Active contours without edges. Proc. IEEE Transactions on Image Processing. p.266-277.
3. Haralick, R.M., Sternberg, S.R. And Zhuang, X. 1987. Image analysis using mathematical morphology. IEEE Transactions on Pattern Analysis and Machine Intelligence PAMI- 9:532-550.
4. Herzog, K., Roscher, R., Wieland, M., Kicherer, A., Läbe, T., Förstner, W. And Töpfer, R. 2014. Initial steps for high-throughput phenotyping in vineyards. Vitis 53(1):1-8.
5. Kicherer, A., Roscher, R., Herzog, K., Šimon, S., Förstner, W. And Töpfer, R. 2013. BAT (Berry Analysis Tool): a high-throughput image interpretation tool to acquire the number, diameter, and volume of grapevine berries. Vitis 52(3):129-135.
6. Lewis, J.P. 1995. Fast Template Matching, Vision Interface 95, Canadian Image Processing and Pattern Recognition Society, Quebec City, Canada, May 15-19, 1995, p.120-123. (Also see the expanded and corrected version "Fast Normalized Cross-Correlation")
7. Lorenz, D.H., Eichhorn, K.W., Bleiholder, H., Klose, R., Meier, U. And Weber, E. 1995. Growth Stages of the grapevine: phenological growth stages of the grapevine (Vitis vinifera L. SSP. Vinifera) - codes and descriptions according to the extended BBCH scale. Australian Journal of Grape and Wine Research 1:100-103.
8. Peng, T., Balijepalli, A., Gupta, S.K. And Le Brun, T. 2007. Algorithms for on-line monitoring of micro spheres in an optical tweezers-based assembly cell. Anglais 7(4):330-338.
9. Tardaguila, J., Diago, M.P., Blasco, J., Millán, B., Cubero, S., García-Navarrete, O.L. And Aleixos, N. 2012. Automatic estimation of the size and weight of grapevine berries by image analysis. International Conference of Agricultural Engineering. Valencia Spain.
10. Wycislo, A.P., Clark, J.R. And Karcher, D.E. 2008. Fruit shape analysis of Vitis using digital photography. Hort Science 43:677-680.